Repository files navigation

PluginOS

npm version

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000.

Built by Dimitrios Arapis - the full story of this toolchain is at arapis.de/work/open-tooling.

PluginOS

Why PluginOS

Traditional Figma MCP integrations register dozens of tools — each with a full JSON schema the LLM must read on every conversation turn. For a server with 80+ tools, that's ~12,000 tokens of overhead before the agent even does anything.

PluginOS takes a fundamentally different approach:

  • 5 MCP tools, unlimited operations. The server is a thin router. Operations are discovered dynamically, not hardcoded as tool schemas.
  • 15x cheaper per workflow. A complex multi-step task costs ~6,600 tokens vs ~105,000 with traditional approaches — 94% savings.
  • Pre-summarized results. Operations return structured summaries, not raw node dumps. Agents reason better with less noise.
  • Extensible by design. Add custom operations as simple manifest + execute pairs. No server changes needed.
  • Multi-file support. Connect multiple Figma files simultaneously. The server tracks active files and routes operations to the right one.

Quick Start

1. Install for your agent

Recommended — Claude Desktop (one click, no terminal):

  1. Download pluginos.dxt from the latest GitHub Release.
  2. Double-click the downloaded file. Claude Desktop opens an install dialog.
  3. Confirm. PluginOS appears in Claude Desktop's connector list.

No JSON editing, no terminal. Note: Claude.ai web is not supported — it cannot reach local MCP servers.

Using Cursor or Claude Code CLI? Open the section below for the right config.

Other AI tools (Cursor, Claude Code CLI, manual config)

Cursor (.cursor/mcp.json):

{
"mcpServers": {
"pluginos": {
"command": "npx",
"args": ["-y", "pluginos@latest"]
}
}
}

Then paste the Tier 1 rules below into .cursorrules so Cursor prefers PluginOS over the generic Figma MCP.

Claude Code (CLI — engineers):

/plugin marketplace add LSDimi/pluginos
/plugin install pluginos

Installs the MCP server registration and the pluginos-figma skill in one step.

Manual (other MCP-capable clients): Use the same mcpServers JSON block as Cursor above and paste the Tier 1 rules below into your project's custom instructions.

Tier 1 rules (paste into Cursor / Claude Desktop / other clients):

When working with Figma, always use PluginOS tools exclusively:
- Use `list_operations` (pluginos) first to discover available Figma operations.
- Use `run_operation` (pluginos) to execute them.
- Use `execute_figma` (pluginos) only for one-off custom logic not covered by built-in ops.
- Do NOT use `mcp__Figma__*` tools — they bypass the plugin and return raw, token-heavy data. PluginOS returns pre-summarized, structured results at ~230 tokens/call.
- If PluginOS returns "No plugin connected", open the PluginOS Bridge plugin in Figma before retrying.
Audit/lint/check operations default to `scope: "selection"`. Pass `scope: "page"` explicitly (and `confirm: true` for pages over 500 nodes) to scan the whole page. Responses carry `_hint` and `_next_hints` fields — respect them when deciding what to do next.

2. Install the Bridge Plugin in Figma

  1. Download pluginos-bridge-v<version>.zip from the latest release. Unzip anywhere.
  2. Open Figma Desktop. Menu → Plugins → Development → Import plugin from manifest…
  3. Select the manifest.json from the unzipped folder.
  4. Run PluginOS Bridge — it auto-connects to the MCP server.

Full setup walkthrough (with screenshots, troubleshooting, and team distribution): INSTALL.md.

3. Use it

Tell your agent:

"Check the contrast ratios in my design"

The agent calls run_operation("check_contrast", {scope: "page"}) and gets back a clean summary. ~230 tokens, done.

"Create a 300x200 frame with auto-layout and add some text"

The agent calls write operations to create frames, set text, and modify fills — all through the same 5-tool interface.

How It Works

Agent ── MCP (stdio) ──> PluginOS Server ── WebSocket ──> Bridge Plugin ──> Figma
5 tools thin router localhost many operations full API
~600 tokens routes by name ports 9500- executes locally figma.*
per turn + params only 9510 returns summaries

Two execution paths:

PathWhenToken costHow
FastBuilt-in operation exists~230 tokensrun_operation("check_contrast", {scope: "page"})
FallbackCustom/one-off logic needed~700 tokensexecute_figma("return figma.currentPage.findAll().length")

Available Operations (29)

OperationCategoryDescription
lint_styleslintFind layers without styles
lint_detachedlintFind detached instances
lint_naminglintFind default-named layers
validate_ds_compliancelintFull DS audit in one pass (style, detached, naming, contrast, spacing)
check_contrastaccessibilityWCAG contrast audit
check_touch_targetsaccessibilityTouch target size check
find_instancescomponentsFind component instances
analyze_overridescomponentsReport instance overrides
create_framecomponentsCreate frames with auto-layout
clone_nodecomponentsClone and reposition nodes
rename_layerscleanupBatch rename layers
remove_hiddencleanupRemove hidden layers
round_valuescleanupRound fractional values
delete_nodecleanupDelete nodes by ID
list_variablestokensList all variables
export_tokenstokensExport tokens as JSON
audit_spacinglayoutAudit spacing values
move_nodelayoutMove nodes to new positions
resize_nodelayoutResize nodes
set_fillscolorsSet fill colors on nodes
extract_palettecolorsExtract unique colors with counts
find_non_style_colorscolorsFind hardcoded (unstyled) colors
audit_text_stylestypographyAudit font/size/weight consistency
list_fontstypographyList all fonts with usage counts
set_textcontentSet text content on nodes
populate_textcontentFill text with lorem or custom text
extract_cssexportExtract CSS properties from nodes
list_commentscollabList threaded file comments via REST (unresolved by default)
reply_commentcollabReply to a file comment via REST (confirm-gated)

Comments (REST)

list_comments and reply_comment read and reply to Figma file comments by calling the Figma REST API directly from the bridge plugin's sandbox (api.figma.com is allowlisted in the plugin manifest) — no MCP server round-trip involved.

One-time setup: paste a Figma Personal Access Token into the Bridge plugin's ⚙ Setup panel, "Figma REST access" section. Required scopes: file_comments:read, file_comments:write, file_metadata:read. The token is stored only in figma.clientStorage, never sent to the MCP server.

  • list_comments returns threaded, unresolved-by-default comments joined to live node names/paths. The first call needs the file URL or key; it's then verified and remembered in the file for later calls.
  • reply_comment posts publicly as the user and requires confirm: true — the agent shows a preview first.
  • Resolving comments is manual in Figma; the REST API has no resolve endpoint.

Also in 0.7: fixed a serializer bug where deep scalar values corrupted to "[max depth]"; file identity is now stable (synthetic IDs replace "unknown" fileKeys) with resilient server targeting (name match, single-file fallback); execute_figma now echoes back the requestedTimeout it used.

Token Economics

ScenarioTraditional MCPPluginOSSavings
Tool schema overhead (per turn)~12,000 tokens~650 tokens95%
Single operation call~1,500 tokens~230 tokens85%
Complex workflow (8 steps)~105,000 tokens~6,600 tokens94%
10 users × 5 runs/day × 30 days~157M tokens~10M tokens94%

Adding Custom Operations

Create a file in packages/bridge-plugin/src/operations/:

import{registerOperation}from"./registry";registerOperation({manifest: {name: "my_operation",description: "What it does",category: "custom",params: {scope: {type: "string",required: false,description: "'page' or 'selection'"},},returns: "{ result, summary }",},asyncexecute(params){constnodes=figma.currentPage.findAll();return{result: nodes.length,summary: `Found ${nodes.length} nodes.`};},});

Register it in operations/index.ts and rebuild. The agent discovers it automatically via list_operations.

Architecture

packages/
shared/ Types, protocol messages, categories
mcp-server/ MCP server (stdio) + WebSocket + HTTP (bootloader)
bridge-plugin/ Figma plugin (webpack -> code.js + bootloader.html)
  • Monorepo with npm workspaces
  • MCP protocol over stdio (server <> agent)
  • WebSocket on localhost:9500-9510 (server <> plugin)
  • Bootloader pattern — plugin fetches fresh UI from server on startup
  • Port scanning — plugin auto-discovers the server
  • Multi-file — multiple Figma files connect simultaneously

Development

All commands must be run from the repo root (PluginOS-main/ or wherever you cloned/unzipped it). Running them from inside a package subfolder will fail.

# 1. Install all dependencies (run once from repo root)
npm install
# 2. Build shared types first — mcp-server depends on them
npm run build -w packages/shared
# 3. Build the Figma bridge plugin (outputs to packages/bridge-plugin/dist/)
npm run build -w packages/bridge-plugin
# 4. Load the plugin in Figma# Figma → Plugins → Development → Import plugin from manifest# Select: packages/bridge-plugin/manifest.json
# Hot-reload development
npm run dev:server # MCP server with hot reload
npm run dev:plugin # Webpack watch for bridge plugin
npm test# Tests across all packages

License

MIT

About

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000

Resources

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Repository files navigation

PluginOS

npm version

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000.

Built by Dimitrios Arapis - the full story of this toolchain is at arapis.de/work/open-tooling.

PluginOS

Why PluginOS

Traditional Figma MCP integrations register dozens of tools — each with a full JSON schema the LLM must read on every conversation turn. For a server with 80+ tools, that's ~12,000 tokens of overhead before the agent even does anything.

PluginOS takes a fundamentally different approach:

  • 5 MCP tools, unlimited operations. The server is a thin router. Operations are discovered dynamically, not hardcoded as tool schemas.
  • 15x cheaper per workflow. A complex multi-step task costs ~6,600 tokens vs ~105,000 with traditional approaches — 94% savings.
  • Pre-summarized results. Operations return structured summaries, not raw node dumps. Agents reason better with less noise.
  • Extensible by design. Add custom operations as simple manifest + execute pairs. No server changes needed.
  • Multi-file support. Connect multiple Figma files simultaneously. The server tracks active files and routes operations to the right one.

Quick Start

1. Install for your agent

Recommended — Claude Desktop (one click, no terminal):

  1. Download pluginos.dxt from the latest GitHub Release.
  2. Double-click the downloaded file. Claude Desktop opens an install dialog.
  3. Confirm. PluginOS appears in Claude Desktop's connector list.

No JSON editing, no terminal. Note: Claude.ai web is not supported — it cannot reach local MCP servers.

Using Cursor or Claude Code CLI? Open the section below for the right config.

Other AI tools (Cursor, Claude Code CLI, manual config)

Cursor (.cursor/mcp.json):

{
"mcpServers": {
"pluginos": {
"command": "npx",
"args": ["-y", "pluginos@latest"]
}
}
}

Then paste the Tier 1 rules below into .cursorrules so Cursor prefers PluginOS over the generic Figma MCP.

Claude Code (CLI — engineers):

/plugin marketplace add LSDimi/pluginos
/plugin install pluginos

Installs the MCP server registration and the pluginos-figma skill in one step.

Manual (other MCP-capable clients): Use the same mcpServers JSON block as Cursor above and paste the Tier 1 rules below into your project's custom instructions.

Tier 1 rules (paste into Cursor / Claude Desktop / other clients):

When working with Figma, always use PluginOS tools exclusively:
- Use `list_operations` (pluginos) first to discover available Figma operations.
- Use `run_operation` (pluginos) to execute them.
- Use `execute_figma` (pluginos) only for one-off custom logic not covered by built-in ops.
- Do NOT use `mcp__Figma__*` tools — they bypass the plugin and return raw, token-heavy data. PluginOS returns pre-summarized, structured results at ~230 tokens/call.
- If PluginOS returns "No plugin connected", open the PluginOS Bridge plugin in Figma before retrying.
Audit/lint/check operations default to `scope: "selection"`. Pass `scope: "page"` explicitly (and `confirm: true` for pages over 500 nodes) to scan the whole page. Responses carry `_hint` and `_next_hints` fields — respect them when deciding what to do next.

2. Install the Bridge Plugin in Figma

  1. Download pluginos-bridge-v<version>.zip from the latest release. Unzip anywhere.
  2. Open Figma Desktop. Menu → Plugins → Development → Import plugin from manifest…
  3. Select the manifest.json from the unzipped folder.
  4. Run PluginOS Bridge — it auto-connects to the MCP server.

Full setup walkthrough (with screenshots, troubleshooting, and team distribution): INSTALL.md.

3. Use it

Tell your agent:

"Check the contrast ratios in my design"

The agent calls run_operation("check_contrast", {scope: "page"}) and gets back a clean summary. ~230 tokens, done.

"Create a 300x200 frame with auto-layout and add some text"

The agent calls write operations to create frames, set text, and modify fills — all through the same 5-tool interface.

How It Works

Agent ── MCP (stdio) ──> PluginOS Server ── WebSocket ──> Bridge Plugin ──> Figma
5 tools thin router localhost many operations full API
~600 tokens routes by name ports 9500- executes locally figma.*
per turn + params only 9510 returns summaries

Two execution paths:

PathWhenToken costHow
FastBuilt-in operation exists~230 tokensrun_operation("check_contrast", {scope: "page"})
FallbackCustom/one-off logic needed~700 tokensexecute_figma("return figma.currentPage.findAll().length")

Available Operations (29)

OperationCategoryDescription
lint_styleslintFind layers without styles
lint_detachedlintFind detached instances
lint_naminglintFind default-named layers
validate_ds_compliancelintFull DS audit in one pass (style, detached, naming, contrast, spacing)
check_contrastaccessibilityWCAG contrast audit
check_touch_targetsaccessibilityTouch target size check
find_instancescomponentsFind component instances
analyze_overridescomponentsReport instance overrides
create_framecomponentsCreate frames with auto-layout
clone_nodecomponentsClone and reposition nodes
rename_layerscleanupBatch rename layers
remove_hiddencleanupRemove hidden layers
round_valuescleanupRound fractional values
delete_nodecleanupDelete nodes by ID
list_variablestokensList all variables
export_tokenstokensExport tokens as JSON
audit_spacinglayoutAudit spacing values
move_nodelayoutMove nodes to new positions
resize_nodelayoutResize nodes
set_fillscolorsSet fill colors on nodes
extract_palettecolorsExtract unique colors with counts
find_non_style_colorscolorsFind hardcoded (unstyled) colors
audit_text_stylestypographyAudit font/size/weight consistency
list_fontstypographyList all fonts with usage counts
set_textcontentSet text content on nodes
populate_textcontentFill text with lorem or custom text
extract_cssexportExtract CSS properties from nodes
list_commentscollabList threaded file comments via REST (unresolved by default)
reply_commentcollabReply to a file comment via REST (confirm-gated)

Comments (REST)

list_comments and reply_comment read and reply to Figma file comments by calling the Figma REST API directly from the bridge plugin's sandbox (api.figma.com is allowlisted in the plugin manifest) — no MCP server round-trip involved.

One-time setup: paste a Figma Personal Access Token into the Bridge plugin's ⚙ Setup panel, "Figma REST access" section. Required scopes: file_comments:read, file_comments:write, file_metadata:read. The token is stored only in figma.clientStorage, never sent to the MCP server.

  • list_comments returns threaded, unresolved-by-default comments joined to live node names/paths. The first call needs the file URL or key; it's then verified and remembered in the file for later calls.
  • reply_comment posts publicly as the user and requires confirm: true — the agent shows a preview first.
  • Resolving comments is manual in Figma; the REST API has no resolve endpoint.

Also in 0.7: fixed a serializer bug where deep scalar values corrupted to "[max depth]"; file identity is now stable (synthetic IDs replace "unknown" fileKeys) with resilient server targeting (name match, single-file fallback); execute_figma now echoes back the requestedTimeout it used.

Token Economics

ScenarioTraditional MCPPluginOSSavings
Tool schema overhead (per turn)~12,000 tokens~650 tokens95%
Single operation call~1,500 tokens~230 tokens85%
Complex workflow (8 steps)~105,000 tokens~6,600 tokens94%
10 users × 5 runs/day × 30 days~157M tokens~10M tokens94%

Adding Custom Operations

Create a file in packages/bridge-plugin/src/operations/:

import{registerOperation}from"./registry";registerOperation({manifest: {name: "my_operation",description: "What it does",category: "custom",params: {scope: {type: "string",required: false,description: "'page' or 'selection'"},},returns: "{ result, summary }",},asyncexecute(params){constnodes=figma.currentPage.findAll();return{result: nodes.length,summary: `Found ${nodes.length} nodes.`};},});

Register it in operations/index.ts and rebuild. The agent discovers it automatically via list_operations.

Architecture

packages/
shared/ Types, protocol messages, categories
mcp-server/ MCP server (stdio) + WebSocket + HTTP (bootloader)
bridge-plugin/ Figma plugin (webpack -> code.js + bootloader.html)
  • Monorepo with npm workspaces
  • MCP protocol over stdio (server <> agent)
  • WebSocket on localhost:9500-9510 (server <> plugin)
  • Bootloader pattern — plugin fetches fresh UI from server on startup
  • Port scanning — plugin auto-discovers the server
  • Multi-file — multiple Figma files connect simultaneously

Development

All commands must be run from the repo root (PluginOS-main/ or wherever you cloned/unzipped it). Running them from inside a package subfolder will fail.

# 1. Install all dependencies (run once from repo root)
npm install
# 2. Build shared types first — mcp-server depends on them
npm run build -w packages/shared
# 3. Build the Figma bridge plugin (outputs to packages/bridge-plugin/dist/)
npm run build -w packages/bridge-plugin
# 4. Load the plugin in Figma# Figma → Plugins → Development → Import plugin from manifest# Select: packages/bridge-plugin/manifest.json
# Hot-reload development
npm run dev:server # MCP server with hot reload
npm run dev:plugin # Webpack watch for bridge plugin
npm test# Tests across all packages

License

MIT

About

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000

Resources

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

PluginOS

npm version

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000.

Built by Dimitrios Arapis - the full story of this toolchain is at arapis.de/work/open-tooling.

PluginOS

Why PluginOS

Traditional Figma MCP integrations register dozens of tools — each with a full JSON schema the LLM must read on every conversation turn. For a server with 80+ tools, that's ~12,000 tokens of overhead before the agent even does anything.

PluginOS takes a fundamentally different approach:

  • 5 MCP tools, unlimited operations. The server is a thin router. Operations are discovered dynamically, not hardcoded as tool schemas.
  • 15x cheaper per workflow. A complex multi-step task costs ~6,600 tokens vs ~105,000 with traditional approaches — 94% savings.
  • Pre-summarized results. Operations return structured summaries, not raw node dumps. Agents reason better with less noise.
  • Extensible by design. Add custom operations as simple manifest + execute pairs. No server changes needed.
  • Multi-file support. Connect multiple Figma files simultaneously. The server tracks active files and routes operations to the right one.

Quick Start

1. Install for your agent

Recommended — Claude Desktop (one click, no terminal):

  1. Download pluginos.dxt from the latest GitHub Release.
  2. Double-click the downloaded file. Claude Desktop opens an install dialog.
  3. Confirm. PluginOS appears in Claude Desktop's connector list.

No JSON editing, no terminal. Note: Claude.ai web is not supported — it cannot reach local MCP servers.

Using Cursor or Claude Code CLI? Open the section below for the right config.

Other AI tools (Cursor, Claude Code CLI, manual config)

Cursor (.cursor/mcp.json):

{
"mcpServers": {
"pluginos": {
"command": "npx",
"args": ["-y", "pluginos@latest"]
}
}
}

Then paste the Tier 1 rules below into .cursorrules so Cursor prefers PluginOS over the generic Figma MCP.

Claude Code (CLI — engineers):

/plugin marketplace add LSDimi/pluginos
/plugin install pluginos

Installs the MCP server registration and the pluginos-figma skill in one step.

Manual (other MCP-capable clients): Use the same mcpServers JSON block as Cursor above and paste the Tier 1 rules below into your project's custom instructions.

Tier 1 rules (paste into Cursor / Claude Desktop / other clients):

When working with Figma, always use PluginOS tools exclusively:
- Use `list_operations` (pluginos) first to discover available Figma operations.
- Use `run_operation` (pluginos) to execute them.
- Use `execute_figma` (pluginos) only for one-off custom logic not covered by built-in ops.
- Do NOT use `mcp__Figma__*` tools — they bypass the plugin and return raw, token-heavy data. PluginOS returns pre-summarized, structured results at ~230 tokens/call.
- If PluginOS returns "No plugin connected", open the PluginOS Bridge plugin in Figma before retrying.
Audit/lint/check operations default to `scope: "selection"`. Pass `scope: "page"` explicitly (and `confirm: true` for pages over 500 nodes) to scan the whole page. Responses carry `_hint` and `_next_hints` fields — respect them when deciding what to do next.

2. Install the Bridge Plugin in Figma

  1. Download pluginos-bridge-v<version>.zip from the latest release. Unzip anywhere.
  2. Open Figma Desktop. Menu → Plugins → Development → Import plugin from manifest…
  3. Select the manifest.json from the unzipped folder.
  4. Run PluginOS Bridge — it auto-connects to the MCP server.

Full setup walkthrough (with screenshots, troubleshooting, and team distribution): INSTALL.md.

3. Use it

Tell your agent:

"Check the contrast ratios in my design"

The agent calls run_operation("check_contrast", {scope: "page"}) and gets back a clean summary. ~230 tokens, done.

"Create a 300x200 frame with auto-layout and add some text"

The agent calls write operations to create frames, set text, and modify fills — all through the same 5-tool interface.

How It Works

Agent ── MCP (stdio) ──> PluginOS Server ── WebSocket ──> Bridge Plugin ──> Figma
5 tools thin router localhost many operations full API
~600 tokens routes by name ports 9500- executes locally figma.*
per turn + params only 9510 returns summaries

Two execution paths:

PathWhenToken costHow
FastBuilt-in operation exists~230 tokensrun_operation("check_contrast", {scope: "page"})
FallbackCustom/one-off logic needed~700 tokensexecute_figma("return figma.currentPage.findAll().length")

Available Operations (29)

OperationCategoryDescription
lint_styleslintFind layers without styles
lint_detachedlintFind detached instances
lint_naminglintFind default-named layers
validate_ds_compliancelintFull DS audit in one pass (style, detached, naming, contrast, spacing)
check_contrastaccessibilityWCAG contrast audit
check_touch_targetsaccessibilityTouch target size check
find_instancescomponentsFind component instances
analyze_overridescomponentsReport instance overrides
create_framecomponentsCreate frames with auto-layout
clone_nodecomponentsClone and reposition nodes
rename_layerscleanupBatch rename layers
remove_hiddencleanupRemove hidden layers
round_valuescleanupRound fractional values
delete_nodecleanupDelete nodes by ID
list_variablestokensList all variables
export_tokenstokensExport tokens as JSON
audit_spacinglayoutAudit spacing values
move_nodelayoutMove nodes to new positions
resize_nodelayoutResize nodes
set_fillscolorsSet fill colors on nodes
extract_palettecolorsExtract unique colors with counts
find_non_style_colorscolorsFind hardcoded (unstyled) colors
audit_text_stylestypographyAudit font/size/weight consistency
list_fontstypographyList all fonts with usage counts
set_textcontentSet text content on nodes
populate_textcontentFill text with lorem or custom text
extract_cssexportExtract CSS properties from nodes
list_commentscollabList threaded file comments via REST (unresolved by default)
reply_commentcollabReply to a file comment via REST (confirm-gated)

Comments (REST)

list_comments and reply_comment read and reply to Figma file comments by calling the Figma REST API directly from the bridge plugin's sandbox (api.figma.com is allowlisted in the plugin manifest) — no MCP server round-trip involved.

One-time setup: paste a Figma Personal Access Token into the Bridge plugin's ⚙ Setup panel, "Figma REST access" section. Required scopes: file_comments:read, file_comments:write, file_metadata:read. The token is stored only in figma.clientStorage, never sent to the MCP server.

  • list_comments returns threaded, unresolved-by-default comments joined to live node names/paths. The first call needs the file URL or key; it's then verified and remembered in the file for later calls.
  • reply_comment posts publicly as the user and requires confirm: true — the agent shows a preview first.
  • Resolving comments is manual in Figma; the REST API has no resolve endpoint.

Also in 0.7: fixed a serializer bug where deep scalar values corrupted to "[max depth]"; file identity is now stable (synthetic IDs replace "unknown" fileKeys) with resilient server targeting (name match, single-file fallback); execute_figma now echoes back the requestedTimeout it used.

Token Economics

ScenarioTraditional MCPPluginOSSavings
Tool schema overhead (per turn)~12,000 tokens~650 tokens95%
Single operation call~1,500 tokens~230 tokens85%
Complex workflow (8 steps)~105,000 tokens~6,600 tokens94%
10 users × 5 runs/day × 30 days~157M tokens~10M tokens94%

Adding Custom Operations

Create a file in packages/bridge-plugin/src/operations/:

import{registerOperation}from"./registry";registerOperation({manifest: {name: "my_operation",description: "What it does",category: "custom",params: {scope: {type: "string",required: false,description: "'page' or 'selection'"},},returns: "{ result, summary }",},asyncexecute(params){constnodes=figma.currentPage.findAll();return{result: nodes.length,summary: `Found ${nodes.length} nodes.`};},});

Register it in operations/index.ts and rebuild. The agent discovers it automatically via list_operations.

Architecture

packages/
shared/ Types, protocol messages, categories
mcp-server/ MCP server (stdio) + WebSocket + HTTP (bootloader)
bridge-plugin/ Figma plugin (webpack -> code.js + bootloader.html)
  • Monorepo with npm workspaces
  • MCP protocol over stdio (server <> agent)
  • WebSocket on localhost:9500-9510 (server <> plugin)
  • Bootloader pattern — plugin fetches fresh UI from server on startup
  • Port scanning — plugin auto-discovers the server
  • Multi-file — multiple Figma files connect simultaneously

Development

All commands must be run from the repo root (PluginOS-main/ or wherever you cloned/unzipped it). Running them from inside a package subfolder will fail.

# 1. Install all dependencies (run once from repo root)
npm install
# 2. Build shared types first — mcp-server depends on them
npm run build -w packages/shared
# 3. Build the Figma bridge plugin (outputs to packages/bridge-plugin/dist/)
npm run build -w packages/bridge-plugin
# 4. Load the plugin in Figma# Figma → Plugins → Development → Import plugin from manifest# Select: packages/bridge-plugin/manifest.json
# Hot-reload development
npm run dev:server # MCP server with hot reload
npm run dev:plugin # Webpack watch for bridge plugin
npm test# Tests across all packages

License

MIT

About

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000

Resources

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

PluginOS

npm version

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000.

Built by Dimitrios Arapis - the full story of this toolchain is at arapis.de/work/open-tooling.

PluginOS

Why PluginOS

Traditional Figma MCP integrations register dozens of tools — each with a full JSON schema the LLM must read on every conversation turn. For a server with 80+ tools, that's ~12,000 tokens of overhead before the agent even does anything.

PluginOS takes a fundamentally different approach:

  • 5 MCP tools, unlimited operations. The server is a thin router. Operations are discovered dynamically, not hardcoded as tool schemas.
  • 15x cheaper per workflow. A complex multi-step task costs ~6,600 tokens vs ~105,000 with traditional approaches — 94% savings.
  • Pre-summarized results. Operations return structured summaries, not raw node dumps. Agents reason better with less noise.
  • Extensible by design. Add custom operations as simple manifest + execute pairs. No server changes needed.
  • Multi-file support. Connect multiple Figma files simultaneously. The server tracks active files and routes operations to the right one.

Quick Start

1. Install for your agent

Recommended — Claude Desktop (one click, no terminal):

  1. Download pluginos.dxt from the latest GitHub Release.
  2. Double-click the downloaded file. Claude Desktop opens an install dialog.
  3. Confirm. PluginOS appears in Claude Desktop's connector list.

No JSON editing, no terminal. Note: Claude.ai web is not supported — it cannot reach local MCP servers.

Using Cursor or Claude Code CLI? Open the section below for the right config.

Other AI tools (Cursor, Claude Code CLI, manual config)

Cursor (.cursor/mcp.json):

{
"mcpServers": {
"pluginos": {
"command": "npx",
"args": ["-y", "pluginos@latest"]
}
}
}

Then paste the Tier 1 rules below into .cursorrules so Cursor prefers PluginOS over the generic Figma MCP.

Claude Code (CLI — engineers):

/plugin marketplace add LSDimi/pluginos
/plugin install pluginos

Installs the MCP server registration and the pluginos-figma skill in one step.

Manual (other MCP-capable clients): Use the same mcpServers JSON block as Cursor above and paste the Tier 1 rules below into your project's custom instructions.

Tier 1 rules (paste into Cursor / Claude Desktop / other clients):

When working with Figma, always use PluginOS tools exclusively:
- Use `list_operations` (pluginos) first to discover available Figma operations.
- Use `run_operation` (pluginos) to execute them.
- Use `execute_figma` (pluginos) only for one-off custom logic not covered by built-in ops.
- Do NOT use `mcp__Figma__*` tools — they bypass the plugin and return raw, token-heavy data. PluginOS returns pre-summarized, structured results at ~230 tokens/call.
- If PluginOS returns "No plugin connected", open the PluginOS Bridge plugin in Figma before retrying.
Audit/lint/check operations default to `scope: "selection"`. Pass `scope: "page"` explicitly (and `confirm: true` for pages over 500 nodes) to scan the whole page. Responses carry `_hint` and `_next_hints` fields — respect them when deciding what to do next.

2. Install the Bridge Plugin in Figma

  1. Download pluginos-bridge-v<version>.zip from the latest release. Unzip anywhere.
  2. Open Figma Desktop. Menu → Plugins → Development → Import plugin from manifest…
  3. Select the manifest.json from the unzipped folder.
  4. Run PluginOS Bridge — it auto-connects to the MCP server.

Full setup walkthrough (with screenshots, troubleshooting, and team distribution): INSTALL.md.

3. Use it

Tell your agent:

"Check the contrast ratios in my design"

The agent calls run_operation("check_contrast", {scope: "page"}) and gets back a clean summary. ~230 tokens, done.

"Create a 300x200 frame with auto-layout and add some text"

The agent calls write operations to create frames, set text, and modify fills — all through the same 5-tool interface.

How It Works

Agent ── MCP (stdio) ──> PluginOS Server ── WebSocket ──> Bridge Plugin ──> Figma
5 tools thin router localhost many operations full API
~600 tokens routes by name ports 9500- executes locally figma.*
per turn + params only 9510 returns summaries

Two execution paths:

PathWhenToken costHow
FastBuilt-in operation exists~230 tokensrun_operation("check_contrast", {scope: "page"})
FallbackCustom/one-off logic needed~700 tokensexecute_figma("return figma.currentPage.findAll().length")

Available Operations (29)

OperationCategoryDescription
lint_styleslintFind layers without styles
lint_detachedlintFind detached instances
lint_naminglintFind default-named layers
validate_ds_compliancelintFull DS audit in one pass (style, detached, naming, contrast, spacing)
check_contrastaccessibilityWCAG contrast audit
check_touch_targetsaccessibilityTouch target size check
find_instancescomponentsFind component instances
analyze_overridescomponentsReport instance overrides
create_framecomponentsCreate frames with auto-layout
clone_nodecomponentsClone and reposition nodes
rename_layerscleanupBatch rename layers
remove_hiddencleanupRemove hidden layers
round_valuescleanupRound fractional values
delete_nodecleanupDelete nodes by ID
list_variablestokensList all variables
export_tokenstokensExport tokens as JSON
audit_spacinglayoutAudit spacing values
move_nodelayoutMove nodes to new positions
resize_nodelayoutResize nodes
set_fillscolorsSet fill colors on nodes
extract_palettecolorsExtract unique colors with counts
find_non_style_colorscolorsFind hardcoded (unstyled) colors
audit_text_stylestypographyAudit font/size/weight consistency
list_fontstypographyList all fonts with usage counts
set_textcontentSet text content on nodes
populate_textcontentFill text with lorem or custom text
extract_cssexportExtract CSS properties from nodes
list_commentscollabList threaded file comments via REST (unresolved by default)
reply_commentcollabReply to a file comment via REST (confirm-gated)

Comments (REST)

list_comments and reply_comment read and reply to Figma file comments by calling the Figma REST API directly from the bridge plugin's sandbox (api.figma.com is allowlisted in the plugin manifest) — no MCP server round-trip involved.

One-time setup: paste a Figma Personal Access Token into the Bridge plugin's ⚙ Setup panel, "Figma REST access" section. Required scopes: file_comments:read, file_comments:write, file_metadata:read. The token is stored only in figma.clientStorage, never sent to the MCP server.

  • list_comments returns threaded, unresolved-by-default comments joined to live node names/paths. The first call needs the file URL or key; it's then verified and remembered in the file for later calls.
  • reply_comment posts publicly as the user and requires confirm: true — the agent shows a preview first.
  • Resolving comments is manual in Figma; the REST API has no resolve endpoint.

Also in 0.7: fixed a serializer bug where deep scalar values corrupted to "[max depth]"; file identity is now stable (synthetic IDs replace "unknown" fileKeys) with resilient server targeting (name match, single-file fallback); execute_figma now echoes back the requestedTimeout it used.

Token Economics

ScenarioTraditional MCPPluginOSSavings
Tool schema overhead (per turn)~12,000 tokens~650 tokens95%
Single operation call~1,500 tokens~230 tokens85%
Complex workflow (8 steps)~105,000 tokens~6,600 tokens94%
10 users × 5 runs/day × 30 days~157M tokens~10M tokens94%

Adding Custom Operations

Create a file in packages/bridge-plugin/src/operations/:

import{registerOperation}from"./registry";registerOperation({manifest: {name: "my_operation",description: "What it does",category: "custom",params: {scope: {type: "string",required: false,description: "'page' or 'selection'"},},returns: "{ result, summary }",},asyncexecute(params){constnodes=figma.currentPage.findAll();return{result: nodes.length,summary: `Found ${nodes.length} nodes.`};},});

Register it in operations/index.ts and rebuild. The agent discovers it automatically via list_operations.

Architecture

packages/
shared/ Types, protocol messages, categories
mcp-server/ MCP server (stdio) + WebSocket + HTTP (bootloader)
bridge-plugin/ Figma plugin (webpack -> code.js + bootloader.html)
  • Monorepo with npm workspaces
  • MCP protocol over stdio (server <> agent)
  • WebSocket on localhost:9500-9510 (server <> plugin)
  • Bootloader pattern — plugin fetches fresh UI from server on startup
  • Port scanning — plugin auto-discovers the server
  • Multi-file — multiple Figma files connect simultaneously

Development

All commands must be run from the repo root (PluginOS-main/ or wherever you cloned/unzipped it). Running them from inside a package subfolder will fail.

# 1. Install all dependencies (run once from repo root)
npm install
# 2. Build shared types first — mcp-server depends on them
npm run build -w packages/shared
# 3. Build the Figma bridge plugin (outputs to packages/bridge-plugin/dist/)
npm run build -w packages/bridge-plugin
# 4. Load the plugin in Figma# Figma → Plugins → Development → Import plugin from manifest# Select: packages/bridge-plugin/manifest.json
# Hot-reload development
npm run dev:server # MCP server with hot reload
npm run dev:plugin # Webpack watch for bridge plugin
npm test# Tests across all packages

License

MIT

About

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000

Resources

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

PluginOS

npm version

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000.

Built by Dimitrios Arapis - the full story of this toolchain is at arapis.de/work/open-tooling.

PluginOS

Why PluginOS

Traditional Figma MCP integrations register dozens of tools — each with a full JSON schema the LLM must read on every conversation turn. For a server with 80+ tools, that's ~12,000 tokens of overhead before the agent even does anything.

PluginOS takes a fundamentally different approach:

  • 5 MCP tools, unlimited operations. The server is a thin router. Operations are discovered dynamically, not hardcoded as tool schemas.
  • 15x cheaper per workflow. A complex multi-step task costs ~6,600 tokens vs ~105,000 with traditional approaches — 94% savings.
  • Pre-summarized results. Operations return structured summaries, not raw node dumps. Agents reason better with less noise.
  • Extensible by design. Add custom operations as simple manifest + execute pairs. No server changes needed.
  • Multi-file support. Connect multiple Figma files simultaneously. The server tracks active files and routes operations to the right one.

Quick Start

1. Install for your agent

Recommended — Claude Desktop (one click, no terminal):

  1. Download pluginos.dxt from the latest GitHub Release.
  2. Double-click the downloaded file. Claude Desktop opens an install dialog.
  3. Confirm. PluginOS appears in Claude Desktop's connector list.

No JSON editing, no terminal. Note: Claude.ai web is not supported — it cannot reach local MCP servers.

Using Cursor or Claude Code CLI? Open the section below for the right config.

Other AI tools (Cursor, Claude Code CLI, manual config)

Cursor (.cursor/mcp.json):

{
"mcpServers": {
"pluginos": {
"command": "npx",
"args": ["-y", "pluginos@latest"]
}
}
}

Then paste the Tier 1 rules below into .cursorrules so Cursor prefers PluginOS over the generic Figma MCP.

Claude Code (CLI — engineers):

/plugin marketplace add LSDimi/pluginos
/plugin install pluginos

Installs the MCP server registration and the pluginos-figma skill in one step.

Manual (other MCP-capable clients): Use the same mcpServers JSON block as Cursor above and paste the Tier 1 rules below into your project's custom instructions.

Tier 1 rules (paste into Cursor / Claude Desktop / other clients):

When working with Figma, always use PluginOS tools exclusively:
- Use `list_operations` (pluginos) first to discover available Figma operations.
- Use `run_operation` (pluginos) to execute them.
- Use `execute_figma` (pluginos) only for one-off custom logic not covered by built-in ops.
- Do NOT use `mcp__Figma__*` tools — they bypass the plugin and return raw, token-heavy data. PluginOS returns pre-summarized, structured results at ~230 tokens/call.
- If PluginOS returns "No plugin connected", open the PluginOS Bridge plugin in Figma before retrying.
Audit/lint/check operations default to `scope: "selection"`. Pass `scope: "page"` explicitly (and `confirm: true` for pages over 500 nodes) to scan the whole page. Responses carry `_hint` and `_next_hints` fields — respect them when deciding what to do next.

2. Install the Bridge Plugin in Figma

  1. Download pluginos-bridge-v<version>.zip from the latest release. Unzip anywhere.
  2. Open Figma Desktop. Menu → Plugins → Development → Import plugin from manifest…
  3. Select the manifest.json from the unzipped folder.
  4. Run PluginOS Bridge — it auto-connects to the MCP server.

Full setup walkthrough (with screenshots, troubleshooting, and team distribution): INSTALL.md.

3. Use it

Tell your agent:

"Check the contrast ratios in my design"

The agent calls run_operation("check_contrast", {scope: "page"}) and gets back a clean summary. ~230 tokens, done.

"Create a 300x200 frame with auto-layout and add some text"

The agent calls write operations to create frames, set text, and modify fills — all through the same 5-tool interface.

How It Works

Agent ── MCP (stdio) ──> PluginOS Server ── WebSocket ──> Bridge Plugin ──> Figma
5 tools thin router localhost many operations full API
~600 tokens routes by name ports 9500- executes locally figma.*
per turn + params only 9510 returns summaries

Two execution paths:

PathWhenToken costHow
FastBuilt-in operation exists~230 tokensrun_operation("check_contrast", {scope: "page"})
FallbackCustom/one-off logic needed~700 tokensexecute_figma("return figma.currentPage.findAll().length")

Available Operations (29)

OperationCategoryDescription
lint_styleslintFind layers without styles
lint_detachedlintFind detached instances
lint_naminglintFind default-named layers
validate_ds_compliancelintFull DS audit in one pass (style, detached, naming, contrast, spacing)
check_contrastaccessibilityWCAG contrast audit
check_touch_targetsaccessibilityTouch target size check
find_instancescomponentsFind component instances
analyze_overridescomponentsReport instance overrides
create_framecomponentsCreate frames with auto-layout
clone_nodecomponentsClone and reposition nodes
rename_layerscleanupBatch rename layers
remove_hiddencleanupRemove hidden layers
round_valuescleanupRound fractional values
delete_nodecleanupDelete nodes by ID
list_variablestokensList all variables
export_tokenstokensExport tokens as JSON
audit_spacinglayoutAudit spacing values
move_nodelayoutMove nodes to new positions
resize_nodelayoutResize nodes
set_fillscolorsSet fill colors on nodes
extract_palettecolorsExtract unique colors with counts
find_non_style_colorscolorsFind hardcoded (unstyled) colors
audit_text_stylestypographyAudit font/size/weight consistency
list_fontstypographyList all fonts with usage counts
set_textcontentSet text content on nodes
populate_textcontentFill text with lorem or custom text
extract_cssexportExtract CSS properties from nodes
list_commentscollabList threaded file comments via REST (unresolved by default)
reply_commentcollabReply to a file comment via REST (confirm-gated)

Comments (REST)

list_comments and reply_comment read and reply to Figma file comments by calling the Figma REST API directly from the bridge plugin's sandbox (api.figma.com is allowlisted in the plugin manifest) — no MCP server round-trip involved.

One-time setup: paste a Figma Personal Access Token into the Bridge plugin's ⚙ Setup panel, "Figma REST access" section. Required scopes: file_comments:read, file_comments:write, file_metadata:read. The token is stored only in figma.clientStorage, never sent to the MCP server.

  • list_comments returns threaded, unresolved-by-default comments joined to live node names/paths. The first call needs the file URL or key; it's then verified and remembered in the file for later calls.
  • reply_comment posts publicly as the user and requires confirm: true — the agent shows a preview first.
  • Resolving comments is manual in Figma; the REST API has no resolve endpoint.

Also in 0.7: fixed a serializer bug where deep scalar values corrupted to "[max depth]"; file identity is now stable (synthetic IDs replace "unknown" fileKeys) with resilient server targeting (name match, single-file fallback); execute_figma now echoes back the requestedTimeout it used.

Token Economics

ScenarioTraditional MCPPluginOSSavings
Tool schema overhead (per turn)~12,000 tokens~650 tokens95%
Single operation call~1,500 tokens~230 tokens85%
Complex workflow (8 steps)~105,000 tokens~6,600 tokens94%
10 users × 5 runs/day × 30 days~157M tokens~10M tokens94%

Adding Custom Operations

Create a file in packages/bridge-plugin/src/operations/:

import{registerOperation}from"./registry";registerOperation({manifest: {name: "my_operation",description: "What it does",category: "custom",params: {scope: {type: "string",required: false,description: "'page' or 'selection'"},},returns: "{ result, summary }",},asyncexecute(params){constnodes=figma.currentPage.findAll();return{result: nodes.length,summary: `Found ${nodes.length} nodes.`};},});

Register it in operations/index.ts and rebuild. The agent discovers it automatically via list_operations.

Architecture

packages/
shared/ Types, protocol messages, categories
mcp-server/ MCP server (stdio) + WebSocket + HTTP (bootloader)
bridge-plugin/ Figma plugin (webpack -> code.js + bootloader.html)
  • Monorepo with npm workspaces
  • MCP protocol over stdio (server <> agent)
  • WebSocket on localhost:9500-9510 (server <> plugin)
  • Bootloader pattern — plugin fetches fresh UI from server on startup
  • Port scanning — plugin auto-discovers the server
  • Multi-file — multiple Figma files connect simultaneously

Development

All commands must be run from the repo root (PluginOS-main/ or wherever you cloned/unzipped it). Running them from inside a package subfolder will fail.

# 1. Install all dependencies (run once from repo root)
npm install
# 2. Build shared types first — mcp-server depends on them
npm run build -w packages/shared
# 3. Build the Figma bridge plugin (outputs to packages/bridge-plugin/dist/)
npm run build -w packages/bridge-plugin
# 4. Load the plugin in Figma# Figma → Plugins → Development → Import plugin from manifest# Select: packages/bridge-plugin/manifest.json
# Hot-reload development
npm run dev:server # MCP server with hot reload
npm run dev:plugin # Webpack watch for bridge plugin
npm test# Tests across all packages

License

MIT

About

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000

Resources

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

PluginOS

npm version

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000.

Built by Dimitrios Arapis - the full story of this toolchain is at arapis.de/work/open-tooling.

PluginOS

Why PluginOS

Traditional Figma MCP integrations register dozens of tools — each with a full JSON schema the LLM must read on every conversation turn. For a server with 80+ tools, that's ~12,000 tokens of overhead before the agent even does anything.

PluginOS takes a fundamentally different approach:

  • 5 MCP tools, unlimited operations. The server is a thin router. Operations are discovered dynamically, not hardcoded as tool schemas.
  • 15x cheaper per workflow. A complex multi-step task costs ~6,600 tokens vs ~105,000 with traditional approaches — 94% savings.
  • Pre-summarized results. Operations return structured summaries, not raw node dumps. Agents reason better with less noise.
  • Extensible by design. Add custom operations as simple manifest + execute pairs. No server changes needed.
  • Multi-file support. Connect multiple Figma files simultaneously. The server tracks active files and routes operations to the right one.

Quick Start

1. Install for your agent

Recommended — Claude Desktop (one click, no terminal):

  1. Download pluginos.dxt from the latest GitHub Release.
  2. Double-click the downloaded file. Claude Desktop opens an install dialog.
  3. Confirm. PluginOS appears in Claude Desktop's connector list.

No JSON editing, no terminal. Note: Claude.ai web is not supported — it cannot reach local MCP servers.

Using Cursor or Claude Code CLI? Open the section below for the right config.

Other AI tools (Cursor, Claude Code CLI, manual config)

Cursor (.cursor/mcp.json):

{
"mcpServers": {
"pluginos": {
"command": "npx",
"args": ["-y", "pluginos@latest"]
}
}
}

Then paste the Tier 1 rules below into .cursorrules so Cursor prefers PluginOS over the generic Figma MCP.

Claude Code (CLI — engineers):

/plugin marketplace add LSDimi/pluginos
/plugin install pluginos

Installs the MCP server registration and the pluginos-figma skill in one step.

Manual (other MCP-capable clients): Use the same mcpServers JSON block as Cursor above and paste the Tier 1 rules below into your project's custom instructions.

Tier 1 rules (paste into Cursor / Claude Desktop / other clients):

When working with Figma, always use PluginOS tools exclusively:
- Use `list_operations` (pluginos) first to discover available Figma operations.
- Use `run_operation` (pluginos) to execute them.
- Use `execute_figma` (pluginos) only for one-off custom logic not covered by built-in ops.
- Do NOT use `mcp__Figma__*` tools — they bypass the plugin and return raw, token-heavy data. PluginOS returns pre-summarized, structured results at ~230 tokens/call.
- If PluginOS returns "No plugin connected", open the PluginOS Bridge plugin in Figma before retrying.
Audit/lint/check operations default to `scope: "selection"`. Pass `scope: "page"` explicitly (and `confirm: true` for pages over 500 nodes) to scan the whole page. Responses carry `_hint` and `_next_hints` fields — respect them when deciding what to do next.

2. Install the Bridge Plugin in Figma

  1. Download pluginos-bridge-v<version>.zip from the latest release. Unzip anywhere.
  2. Open Figma Desktop. Menu → Plugins → Development → Import plugin from manifest…
  3. Select the manifest.json from the unzipped folder.
  4. Run PluginOS Bridge — it auto-connects to the MCP server.

Full setup walkthrough (with screenshots, troubleshooting, and team distribution): INSTALL.md.

3. Use it

Tell your agent:

"Check the contrast ratios in my design"

The agent calls run_operation("check_contrast", {scope: "page"}) and gets back a clean summary. ~230 tokens, done.

"Create a 300x200 frame with auto-layout and add some text"

The agent calls write operations to create frames, set text, and modify fills — all through the same 5-tool interface.

How It Works

Agent ── MCP (stdio) ──> PluginOS Server ── WebSocket ──> Bridge Plugin ──> Figma
5 tools thin router localhost many operations full API
~600 tokens routes by name ports 9500- executes locally figma.*
per turn + params only 9510 returns summaries

Two execution paths:

PathWhenToken costHow
FastBuilt-in operation exists~230 tokensrun_operation("check_contrast", {scope: "page"})
FallbackCustom/one-off logic needed~700 tokensexecute_figma("return figma.currentPage.findAll().length")

Available Operations (29)

OperationCategoryDescription
lint_styleslintFind layers without styles
lint_detachedlintFind detached instances
lint_naminglintFind default-named layers
validate_ds_compliancelintFull DS audit in one pass (style, detached, naming, contrast, spacing)
check_contrastaccessibilityWCAG contrast audit
check_touch_targetsaccessibilityTouch target size check
find_instancescomponentsFind component instances
analyze_overridescomponentsReport instance overrides
create_framecomponentsCreate frames with auto-layout
clone_nodecomponentsClone and reposition nodes
rename_layerscleanupBatch rename layers
remove_hiddencleanupRemove hidden layers
round_valuescleanupRound fractional values
delete_nodecleanupDelete nodes by ID
list_variablestokensList all variables
export_tokenstokensExport tokens as JSON
audit_spacinglayoutAudit spacing values
move_nodelayoutMove nodes to new positions
resize_nodelayoutResize nodes
set_fillscolorsSet fill colors on nodes
extract_palettecolorsExtract unique colors with counts
find_non_style_colorscolorsFind hardcoded (unstyled) colors
audit_text_stylestypographyAudit font/size/weight consistency
list_fontstypographyList all fonts with usage counts
set_textcontentSet text content on nodes
populate_textcontentFill text with lorem or custom text
extract_cssexportExtract CSS properties from nodes
list_commentscollabList threaded file comments via REST (unresolved by default)
reply_commentcollabReply to a file comment via REST (confirm-gated)

Comments (REST)

list_comments and reply_comment read and reply to Figma file comments by calling the Figma REST API directly from the bridge plugin's sandbox (api.figma.com is allowlisted in the plugin manifest) — no MCP server round-trip involved.

One-time setup: paste a Figma Personal Access Token into the Bridge plugin's ⚙ Setup panel, "Figma REST access" section. Required scopes: file_comments:read, file_comments:write, file_metadata:read. The token is stored only in figma.clientStorage, never sent to the MCP server.

  • list_comments returns threaded, unresolved-by-default comments joined to live node names/paths. The first call needs the file URL or key; it's then verified and remembered in the file for later calls.
  • reply_comment posts publicly as the user and requires confirm: true — the agent shows a preview first.
  • Resolving comments is manual in Figma; the REST API has no resolve endpoint.

Also in 0.7: fixed a serializer bug where deep scalar values corrupted to "[max depth]"; file identity is now stable (synthetic IDs replace "unknown" fileKeys) with resilient server targeting (name match, single-file fallback); execute_figma now echoes back the requestedTimeout it used.

Token Economics

ScenarioTraditional MCPPluginOSSavings
Tool schema overhead (per turn)~12,000 tokens~650 tokens95%
Single operation call~1,500 tokens~230 tokens85%
Complex workflow (8 steps)~105,000 tokens~6,600 tokens94%
10 users × 5 runs/day × 30 days~157M tokens~10M tokens94%

Adding Custom Operations

Create a file in packages/bridge-plugin/src/operations/:

import{registerOperation}from"./registry";registerOperation({manifest: {name: "my_operation",description: "What it does",category: "custom",params: {scope: {type: "string",required: false,description: "'page' or 'selection'"},},returns: "{ result, summary }",},asyncexecute(params){constnodes=figma.currentPage.findAll();return{result: nodes.length,summary: `Found ${nodes.length} nodes.`};},});

Register it in operations/index.ts and rebuild. The agent discovers it automatically via list_operations.

Architecture

packages/
shared/ Types, protocol messages, categories
mcp-server/ MCP server (stdio) + WebSocket + HTTP (bootloader)
bridge-plugin/ Figma plugin (webpack -> code.js + bootloader.html)
  • Monorepo with npm workspaces
  • MCP protocol over stdio (server <> agent)
  • WebSocket on localhost:9500-9510 (server <> plugin)
  • Bootloader pattern — plugin fetches fresh UI from server on startup
  • Port scanning — plugin auto-discovers the server
  • Multi-file — multiple Figma files connect simultaneously

Development

All commands must be run from the repo root (PluginOS-main/ or wherever you cloned/unzipped it). Running them from inside a package subfolder will fail.

# 1. Install all dependencies (run once from repo root)
npm install
# 2. Build shared types first — mcp-server depends on them
npm run build -w packages/shared
# 3. Build the Figma bridge plugin (outputs to packages/bridge-plugin/dist/)
npm run build -w packages/bridge-plugin
# 4. Load the plugin in Figma# Figma → Plugins → Development → Import plugin from manifest# Select: packages/bridge-plugin/manifest.json
# Hot-reload development
npm run dev:server # MCP server with hot reload
npm run dev:plugin # Webpack watch for bridge plugin
npm test# Tests across all packages

License

MIT

About

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000

Resources

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

PluginOS

npm version

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000.

Built by Dimitrios Arapis - the full story of this toolchain is at arapis.de/work/open-tooling.

PluginOS

Why PluginOS

Traditional Figma MCP integrations register dozens of tools — each with a full JSON schema the LLM must read on every conversation turn. For a server with 80+ tools, that's ~12,000 tokens of overhead before the agent even does anything.

PluginOS takes a fundamentally different approach:

  • 5 MCP tools, unlimited operations. The server is a thin router. Operations are discovered dynamically, not hardcoded as tool schemas.
  • 15x cheaper per workflow. A complex multi-step task costs ~6,600 tokens vs ~105,000 with traditional approaches — 94% savings.
  • Pre-summarized results. Operations return structured summaries, not raw node dumps. Agents reason better with less noise.
  • Extensible by design. Add custom operations as simple manifest + execute pairs. No server changes needed.
  • Multi-file support. Connect multiple Figma files simultaneously. The server tracks active files and routes operations to the right one.

Quick Start

1. Install for your agent

Recommended — Claude Desktop (one click, no terminal):

  1. Download pluginos.dxt from the latest GitHub Release.
  2. Double-click the downloaded file. Claude Desktop opens an install dialog.
  3. Confirm. PluginOS appears in Claude Desktop's connector list.

No JSON editing, no terminal. Note: Claude.ai web is not supported — it cannot reach local MCP servers.

Using Cursor or Claude Code CLI? Open the section below for the right config.

Other AI tools (Cursor, Claude Code CLI, manual config)

Cursor (.cursor/mcp.json):

{
"mcpServers": {
"pluginos": {
"command": "npx",
"args": ["-y", "pluginos@latest"]
}
}
}

Then paste the Tier 1 rules below into .cursorrules so Cursor prefers PluginOS over the generic Figma MCP.

Claude Code (CLI — engineers):

/plugin marketplace add LSDimi/pluginos
/plugin install pluginos

Installs the MCP server registration and the pluginos-figma skill in one step.

Manual (other MCP-capable clients): Use the same mcpServers JSON block as Cursor above and paste the Tier 1 rules below into your project's custom instructions.

Tier 1 rules (paste into Cursor / Claude Desktop / other clients):

When working with Figma, always use PluginOS tools exclusively:
- Use `list_operations` (pluginos) first to discover available Figma operations.
- Use `run_operation` (pluginos) to execute them.
- Use `execute_figma` (pluginos) only for one-off custom logic not covered by built-in ops.
- Do NOT use `mcp__Figma__*` tools — they bypass the plugin and return raw, token-heavy data. PluginOS returns pre-summarized, structured results at ~230 tokens/call.
- If PluginOS returns "No plugin connected", open the PluginOS Bridge plugin in Figma before retrying.
Audit/lint/check operations default to `scope: "selection"`. Pass `scope: "page"` explicitly (and `confirm: true` for pages over 500 nodes) to scan the whole page. Responses carry `_hint` and `_next_hints` fields — respect them when deciding what to do next.

2. Install the Bridge Plugin in Figma

  1. Download pluginos-bridge-v<version>.zip from the latest release. Unzip anywhere.
  2. Open Figma Desktop. Menu → Plugins → Development → Import plugin from manifest…
  3. Select the manifest.json from the unzipped folder.
  4. Run PluginOS Bridge — it auto-connects to the MCP server.

Full setup walkthrough (with screenshots, troubleshooting, and team distribution): INSTALL.md.

3. Use it

Tell your agent:

"Check the contrast ratios in my design"

The agent calls run_operation("check_contrast", {scope: "page"}) and gets back a clean summary. ~230 tokens, done.

"Create a 300x200 frame with auto-layout and add some text"

The agent calls write operations to create frames, set text, and modify fills — all through the same 5-tool interface.

How It Works

Agent ── MCP (stdio) ──> PluginOS Server ── WebSocket ──> Bridge Plugin ──> Figma
5 tools thin router localhost many operations full API
~600 tokens routes by name ports 9500- executes locally figma.*
per turn + params only 9510 returns summaries

Two execution paths:

PathWhenToken costHow
FastBuilt-in operation exists~230 tokensrun_operation("check_contrast", {scope: "page"})
FallbackCustom/one-off logic needed~700 tokensexecute_figma("return figma.currentPage.findAll().length")

Available Operations (29)

OperationCategoryDescription
lint_styleslintFind layers without styles
lint_detachedlintFind detached instances
lint_naminglintFind default-named layers
validate_ds_compliancelintFull DS audit in one pass (style, detached, naming, contrast, spacing)
check_contrastaccessibilityWCAG contrast audit
check_touch_targetsaccessibilityTouch target size check
find_instancescomponentsFind component instances
analyze_overridescomponentsReport instance overrides
create_framecomponentsCreate frames with auto-layout
clone_nodecomponentsClone and reposition nodes
rename_layerscleanupBatch rename layers
remove_hiddencleanupRemove hidden layers
round_valuescleanupRound fractional values
delete_nodecleanupDelete nodes by ID
list_variablestokensList all variables
export_tokenstokensExport tokens as JSON
audit_spacinglayoutAudit spacing values
move_nodelayoutMove nodes to new positions
resize_nodelayoutResize nodes
set_fillscolorsSet fill colors on nodes
extract_palettecolorsExtract unique colors with counts
find_non_style_colorscolorsFind hardcoded (unstyled) colors
audit_text_stylestypographyAudit font/size/weight consistency
list_fontstypographyList all fonts with usage counts
set_textcontentSet text content on nodes
populate_textcontentFill text with lorem or custom text
extract_cssexportExtract CSS properties from nodes
list_commentscollabList threaded file comments via REST (unresolved by default)
reply_commentcollabReply to a file comment via REST (confirm-gated)

Comments (REST)

list_comments and reply_comment read and reply to Figma file comments by calling the Figma REST API directly from the bridge plugin's sandbox (api.figma.com is allowlisted in the plugin manifest) — no MCP server round-trip involved.

One-time setup: paste a Figma Personal Access Token into the Bridge plugin's ⚙ Setup panel, "Figma REST access" section. Required scopes: file_comments:read, file_comments:write, file_metadata:read. The token is stored only in figma.clientStorage, never sent to the MCP server.

  • list_comments returns threaded, unresolved-by-default comments joined to live node names/paths. The first call needs the file URL or key; it's then verified and remembered in the file for later calls.
  • reply_comment posts publicly as the user and requires confirm: true — the agent shows a preview first.
  • Resolving comments is manual in Figma; the REST API has no resolve endpoint.

Also in 0.7: fixed a serializer bug where deep scalar values corrupted to "[max depth]"; file identity is now stable (synthetic IDs replace "unknown" fileKeys) with resilient server targeting (name match, single-file fallback); execute_figma now echoes back the requestedTimeout it used.

Token Economics

ScenarioTraditional MCPPluginOSSavings
Tool schema overhead (per turn)~12,000 tokens~650 tokens95%
Single operation call~1,500 tokens~230 tokens85%
Complex workflow (8 steps)~105,000 tokens~6,600 tokens94%
10 users × 5 runs/day × 30 days~157M tokens~10M tokens94%

Adding Custom Operations

Create a file in packages/bridge-plugin/src/operations/:

import{registerOperation}from"./registry";registerOperation({manifest: {name: "my_operation",description: "What it does",category: "custom",params: {scope: {type: "string",required: false,description: "'page' or 'selection'"},},returns: "{ result, summary }",},asyncexecute(params){constnodes=figma.currentPage.findAll();return{result: nodes.length,summary: `Found ${nodes.length} nodes.`};},});

Register it in operations/index.ts and rebuild. The agent discovers it automatically via list_operations.

Architecture

packages/
shared/ Types, protocol messages, categories
mcp-server/ MCP server (stdio) + WebSocket + HTTP (bootloader)
bridge-plugin/ Figma plugin (webpack -> code.js + bootloader.html)
  • Monorepo with npm workspaces
  • MCP protocol over stdio (server <> agent)
  • WebSocket on localhost:9500-9510 (server <> plugin)
  • Bootloader pattern — plugin fetches fresh UI from server on startup
  • Port scanning — plugin auto-discovers the server
  • Multi-file — multiple Figma files connect simultaneously

Development

All commands must be run from the repo root (PluginOS-main/ or wherever you cloned/unzipped it). Running them from inside a package subfolder will fail.

# 1. Install all dependencies (run once from repo root)
npm install
# 2. Build shared types first — mcp-server depends on them
npm run build -w packages/shared
# 3. Build the Figma bridge plugin (outputs to packages/bridge-plugin/dist/)
npm run build -w packages/bridge-plugin
# 4. Load the plugin in Figma# Figma → Plugins → Development → Import plugin from manifest# Select: packages/bridge-plugin/manifest.json
# Hot-reload development
npm run dev:server # MCP server with hot reload
npm run dev:plugin # Webpack watch for bridge plugin
npm test# Tests across all packages

License

MIT

About

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000

Resources

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

PluginOS

npm version

Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000.

Built by Dimitrios Arapis - the full story of this toolchain is at arapis.de/work/open-tooling.

PluginOS

Why PluginOS

Traditional Figma MCP integrations register dozens of tools — each with a full JSON schema the LLM must read on every conversation turn. For a server with 80+ tools, that's ~12,000 tokens of overhead before the agent even does anything.

PluginOS takes a fundamentally different approach:

  • 5 MCP tools, unlimited operations. The server is a thin router. Operations are discovered dynamically, not hardcoded as tool schemas.
  • 15x cheaper per workflow. A complex multi-step task costs ~6,600 tokens vs ~105,000 with traditional approaches — 94% savings.
  • Pre-summarized results. Operations return structured summaries, not raw node dumps. Agents reason better with less noise.
  • Extensible by design. Add custom operations as simple manifest + execute pairs. No server changes needed.
  • Multi-file support. Connect multiple Figma files simultaneously. The server tracks active files and routes operations to the right one.

Quick Start

1. Install for your agent

Recommended — Claude Desktop (one click, no terminal):

  1. Download pluginos.dxt from the latest GitHub Release.
  2. Double-click the downloaded file. Claude Desktop opens an install dialog.
  3. Confirm. PluginOS appears in Claude Desktop's connector list.

No JSON editing, no terminal. Note: Claude.ai web is not supported — it cannot reach local MCP servers.

Using Cursor or Claude Code CLI? Open the section below for the right config.

Other AI tools (Cursor, Claude Code CLI, manual config)

Cursor (.cursor/mcp.json):

{
"mcpServers": {
"pluginos": {
"command": "npx",
"args": ["-y", "pluginos@latest"]
}
}
}

Then paste the Tier 1 rules below into .cursorrules so Cursor prefers PluginOS over the generic Figma MCP.

Claude Code (CLI — engineers):

/plugin marketplace add LSDimi/pluginos
/plugin install pluginos

Installs the MCP server registration and the pluginos-figma skill in one step.

Manual (other MCP-capable clients): Use the same mcpServers JSON block as Cursor above and paste the Tier 1 rules below into your project's custom instructions.

Tier 1 rules (paste into Cursor / Claude Desktop / other clients):

When working with Figma, always use PluginOS tools exclusively:
- Use `list_operations` (pluginos) first to discover available Figma operations.
- Use `run_operation` (pluginos) to execute them.
- Use `execute_figma` (pluginos) only for one-off custom logic not covered by built-in ops.
- Do NOT use `mcp__Figma__*` tools — they bypass the plugin and return raw, token-heavy data. PluginOS returns pre-summarized, structured results at ~230 tokens/call.
- If PluginOS returns "No plugin connected", open the PluginOS Bridge plugin in Figma before retrying.
Audit/lint/check operations default to `scope: "selection"`. Pass `scope: "page"` explicitly (and `confirm: true` for pages over 500 nodes) to scan the whole page. Responses carry `_hint` and `_next_hints` fields — respect them when deciding what to do next.

2. Install the Bridge Plugin in Figma

  1. Download pluginos-bridge-v<version>.zip from the latest release. Unzip anywhere.
  2. Open Figma Desktop. Menu → Plugins → Development → Import plugin from manifest…
  3. Select the manifest.json from the unzipped folder.
  4. Run PluginOS Bridge — it auto-connects to the MCP server.

Full setup walkthrough (with screenshots, troubleshooting, and team distribution): INSTALL.md.

3. Use it

Tell your agent:

"Check the contrast ratios in my design"

The agent calls run_operation("check_contrast", {scope: "page"}) and gets back a clean summary. ~230 tokens, done.

"Create a 300x200 frame with auto-layout and add some text"

The agent calls write operations to create frames, set text, and modify fills — all through the same 5-tool interface.

How It Works

Agent ── MCP (stdio) ──> PluginOS Server ── WebSocket ──> Bridge Plugin ──> Figma
5 tools thin router localhost many operations full API
~600 tokens routes by name ports 9500- executes locally figma.*
per turn + params only 9510 returns summaries

Two execution paths:

PathWhenToken costHow
FastBuilt-in operation exists~230 tokensrun_operation("check_contrast", {scope: "page"})
FallbackCustom/one-off logic needed~700 tokensexecute_figma("return figma.currentPage.findAll().length")

Available Operations (29)

OperationCategoryDescription
lint_styleslintFind layers without styles
lint_detachedlintFind detached instances
lint_naminglintFind default-named layers
validate_ds_compliancelintFull DS audit in one pass (style, detached, naming, contrast, spacing)
check_contrastaccessibilityWCAG contrast audit
check_touch_targetsaccessibilityTouch target size check
find_instancescomponentsFind component instances
analyze_overridescomponentsReport instance overrides
create_framecomponentsCreate frames with auto-layout
clone_nodecomponentsClone and reposition nodes
rename_layerscleanupBatch rename layers
remove_hiddencleanupRemove hidden layers
round_valuescleanupRound fractional values
delete_nodecleanupDelete nodes by ID
list_variablestokensList all variables
export_tokenstokensExport tokens as JSON
audit_spacinglayoutAudit spacing values
move_nodelayoutMove nodes to new positions
resize_nodelayoutResize nodes
set_fillscolorsSet fill colors on nodes
extract_palettecolorsExtract unique colors with counts
find_non_style_colorscolorsFind hardcoded (unstyled) colors
audit_text_stylestypographyAudit font/size/weight consistency
list_fontstypographyList all fonts with usage counts
set_textcontentSet text content on nodes
populate_textcontentFill text with lorem or custom text
extract_cssexportExtract CSS properties from nodes
list_commentscollabList threaded file comments via REST (unresolved by default)
reply_commentcollabReply to a file comment via REST (confirm-gated)

Comments (REST)

list_comments and reply_comment read and reply to Figma file comments by calling the Figma REST API directly from the bridge plugin's sandbox (api.figma.com is allowlisted in the plugin manifest) — no MCP server round-trip involved.

One-time setup: paste a Figma Personal Access Token into the Bridge plugin's ⚙ Setup panel, "Figma REST access" section. Required scopes: file_comments:read, file_comments:write, file_metadata:read. The token is stored only in figma.clientStorage, never sent to the MCP server.

  • list_comments returns threaded, unresolved-by-default comments joined to live node names/paths. The first call needs the file URL or key; it's then verified and remembered in the file for later calls.
  • reply_comment posts publicly as the user and requires confirm: true — the agent shows a preview first.
  • Resolving comments is manual in Figma; the REST API has no resolve endpoint.

Also in 0.7: fixed a serializer bug where deep scalar values corrupted to "[max depth]"; file identity is now stable (synthetic IDs replace "unknown" fileKeys) with resilient server targeting (name match, single-file fallback); execute_figma now echoes back the requestedTimeout it used.

Token Economics

ScenarioTraditional MCPPluginOSSavings
Tool schema overhead (per turn)~12,000 tokens~650 tokens95%
Single operation call~1,500 tokens~230 tokens85%
Complex workflow (8 steps)~105,000 tokens~6,600 tokens94%
10 users × 5 runs/day × 30 days~157M tokens~10M tokens94%

Adding Custom Operations

Create a file in packages/bridge-plugin/src/operations/:

import{registerOperation}from"./registry";registerOperation({manifest: {name: "my_operation",description: "What it does",category: "custom",params: {scope: {type: "string",required: false,description: "'page' or 'selection'"},},returns: "{ result, summary }",},asyncexecute(params){constnodes=figma.currentPage.findAll();return{result: nodes.length,summary: `Found ${nodes.length} nodes.`};},});

Register it in operations/index.ts and rebuild. The agent discovers it automatically via list_operations.

Architecture

packages/
shared/ Types, protocol messages, categories
mcp-server/ MCP server (stdio) + WebSocket + HTTP (bootloader)
bridge-plugin/ Figma plugin (webpack -> code.js + bootloader.html)
  • Monorepo with npm workspaces
  • MCP protocol over stdio (server <> agent)
  • WebSocket on localhost:9500-9510 (server <> plugin)
  • Bootloader pattern — plugin fetches fresh UI from server on startup
  • Port scanning — plugin auto-discovers the server
  • Multi-file — multiple Figma files connect simultaneously

Development

All commands must be run from the repo root (PluginOS-main/ or wherever you cloned/unzipped it). Running them from inside a package subfolder will fail.

# 1. Install all dependencies (run once from repo root)
npm install
# 2. Build shared types first — mcp-server depends on them
npm run build -w packages/shared
# 3. Build the Figma bridge plugin (outputs to packages/bridge-plugin/dist/)
npm run build -w packages/bridge-plugin
# 4. Load the plugin in Figma# Figma → Plugins → Development → Import plugin from manifest# Select: packages/bridge-plugin/manifest.json
# Hot-reload development
npm run dev:server # MCP server with hot reload
npm run dev:plugin # Webpack watch for bridge plugin
npm test# Tests across all packages

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MIT

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Agent-native Figma operations platform. Run any Figma plugin operation from any LLM agent at ~230 tokens per call instead of ~28,000

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