OpenModels MCP Server Registry

A community-maintained registry of MCP (Model Context Protocol) servers — structured, searchable, and integrated with the OpenModels ecosystem.

Stats

Metric	Count
Servers	208
Categories	11
Transport types	3 (stdio, sse, http-streaming)

What is this?

This registry catalogs MCP servers that extend AI agents with tools, resources, and prompts. Each server entry includes:

• Description — what the server does and what capabilities it exposes
• Tools — available tool definitions with input schemas
• Resources & Prompts — exposed resources and prompt templates
• Install config — how to install and run the server
• Metadata — category, tags, transport protocols, author, license

Directory Structure

mcp/
├── servers/ # One YAML file per MCP server
│ ├── _template.yaml # Template for contributors
│ ├── arxiv.yaml
│ ├── aws-docs.yaml
│ ├── brave-search.yaml
│ ├── cloudflare.yaml
│ ├── context7.yaml
│ ├── docker.yaml
│ ├── elasticsearch.yaml
│ ├── exa.yaml
│ ├── expo.yaml
│ ├── fetch.yaml
│ ├── figma.yaml
│ ├── firecrawl.yaml
│ ├── filesystem.yaml
│ ├── git.yaml
│ ├── github.yaml
│ ├── grafana.yaml
│ ├── huggingface.yaml
│ ├── jira.yaml
│ ├── jupyter.yaml
│ ├── kubernetes.yaml
│ ├── linear.yaml
│ ├── memory.yaml
│ ├── mongodb.yaml
│ ├── neon.yaml
│ ├── notion.yaml
│ ├── perplexity.yaml
│ ├── playwright.yaml
│ ├── postgres.yaml
│ ├── puppeteer.yaml
│ ├── qdrant.yaml
│ ├── redis.yaml
│ ├── sentry.yaml
│ ├── sequential-thinking.yaml
│ ├── slack.yaml
│ ├── sqlite.yaml
│ ├── stripe.yaml
│ ├── supabase.yaml
│ ├── tavily.yaml
│ ├── time.yaml
│ ├── vercel.yaml
│ ├── vscode.yaml
│ ├── xcode.yaml
│ ├── aws.yaml
│ ├── terraform.yaml
│ ├── anthropic.yaml
│ ├── openai.yaml
│ ├── datadog.yaml
│ ├── posthog.yaml
│ ├── resend.yaml
│ ├── twilio.yaml
│ ├── clickhouse.yaml
│ └── chromadb.yaml
├── categories/
│ └── categories.yaml # Category definitions
├── schemas/
│ └── server.schema.json # JSON Schema (Draft 7) for validation
├── validate.py # Validation script
├── requirements.txt # Python dependencies (PyYAML, jsonschema)
├── CONTRIBUTING.md # Contribution guide
├── CHANGELOG.md # Version history
├── LICENSE # MIT
├── README.md # This file
└── VERSION # Current version (1.9.0)

Quick Start

Browse servers

Visit openmodels.run/mcp to search, filter, and compare MCP servers with a web UI.

Or explore the YAML files directly in the servers/ directory.

Install a server

Each server detail page at openmodels.run/mcp/{server-id} includes an Install MCP server button that copies the install command to your clipboard and provides IDE-specific configuration snippets.

Add a new server

1. Fork this repository
2. Copy servers/_template.yaml to servers/{your-server-id}.yaml
3. Fill in your server details (see CONTRIBUTING.md)
4. Validate locally: python validate.py
5. Submit a pull request

Server Format

Each server is a YAML file validated against a JSON Schema:

id: githubname: GitHub MCP Serverdescription: > Provides access to the GitHub API through the Model Context Protocol...author:
name: GitHubgithub: githubrepository: https://github.com/github/github-mcp-servertransport:
- stdio
- http-streamingcategory: Developmenttags:
- github
- git
- version-controltools:
- name: create_issuedescription: Create a new issue in a GitHub repository.input_schema:
type: objectproperties:
owner:
type: stringrepo:
type: stringtitle:
type: stringrequired: [owner, repo, title]install:
npm: "@github/github-mcp-server"command: dockerargs: ["run", "-i", "--rm", "-e", "GITHUB_PERSONAL_ACCESS_TOKEN", "ghcr.io/github/github-mcp-server"]env_vars:
- name: GITHUB_PERSONAL_ACCESS_TOKENdescription: GitHub personal access token for API authenticationrequired: truelicense: MITversion: "1.0.5"stars: 30200created_at: "2024-11-25T00:00:00.000Z"updated_at: "2026-05-21T00:00:00.000Z"

Selected servers

The table below highlights representative entries. See the servers/ directory for the complete 207-server registry.

Server	Category	Author	Transport
ArXiv	Research	Joe Blazick	stdio, http-streaming
AWS Docs	Development	AWS Labs	stdio
Brave Search	Research	Brave	stdio
Cloudflare	Cloud	Cloudflare	stdio
Context7	Development	Upstash	stdio, http-streaming
Docker	DevOps	Docker	stdio
Elasticsearch	Database	Elastic	stdio, http-streaming
Exa	Research	Exa Labs	stdio
Expo	Development	Expo	stdio, http-streaming
Fetch	Development	Anthropic	stdio
Figma	Development	Figma	stdio, http-streaming
Firecrawl	Research	Mendable	stdio
Filesystem	Filesystem	Anthropic	stdio
Git	Development	Anthropic	stdio
GitHub	Development	GitHub	stdio, http-streaming
Grafana	DevOps	Grafana Labs	stdio, sse
Hugging Face	AI	Hugging Face	stdio, http-streaming
Jira (Atlassian)	Productivity	Atlassian	stdio, http-streaming
Jupyter	Development	Datalayer	stdio
Kubernetes	DevOps	Marc Nuri	stdio, http-streaming
Linear	Productivity	Linear	stdio
Memory	AI	Anthropic	stdio
MongoDB	Database	MongoDB	stdio, http-streaming
Neon	Database	Neon	stdio
Notion	Productivity	Notion	stdio
Perplexity	Research	Perplexity AI	stdio, http-streaming
Playwright	Browser Automation	Microsoft	stdio
PostgreSQL	Database	Anthropic	stdio
Puppeteer	Browser Automation	Anthropic	stdio
Qdrant	Database	Qdrant	stdio, sse, http-streaming
Redis	Database	Anthropic	stdio
Sentry	DevOps	Sentry	stdio
Sequential Thinking	AI	Anthropic	stdio
Slack	Communication	Anthropic	stdio
SQLite	Database	Anthropic	stdio
Stripe	Development	Stripe	stdio
Supabase	Database	Supabase	stdio
Tavily	Research	Tavily	stdio
Time	Productivity	Anthropic	stdio
Vercel	DevOps	Vercel	stdio, http-streaming
VSCode	Development	acomagu	stdio
Xcode	Development	Apple	stdio
AWS	Cloud	AWS Labs	stdio
Anthropic	AI	Anthropic	stdio
ChromaDB	Database	Chroma	stdio
ClickHouse	Database	ClickHouse	stdio
Datadog	DevOps	Datadog	stdio
OpenAI	AI	OpenAI	stdio
PostHog	Productivity	PostHog	stdio
Resend	Communication	Resend	stdio
Terraform	Cloud	HashiCorp	stdio
Twilio	Communication	Twilio	stdio

Categories

Category	Description
Development	Code generation, testing, debugging, and software development tools
Productivity	Task management, note-taking, workflow automation
Database	Database querying, schema management, and data manipulation
DevOps	CI/CD, infrastructure management, monitoring
AI	Machine learning, model management, and AI utilities
Research	Web search, knowledge retrieval, and information gathering
Browser Automation	Web scraping, browser control, and automated testing
Communication	Messaging, email, notifications, and collaboration
Filesystem	File operations, directory management, and local storage
Cloud	Cloud provider APIs, serverless functions, and cloud storage
Security	Authentication, encryption, and vulnerability scanning

Validation

All server definitions are validated against JSON Schema on every PR:

pip install -r requirements.txt
python validate.py

Validation checks:

• YAML syntax
• Schema conformance (required fields, types, enums, patterns)
• No duplicate IDs across all server definitions
• Filename matches the id field

CI Integration

A GitHub Actions workflow runs validation automatically on every pull request that modifies files in servers/, schemas/, or validate.py. PRs that fail validation cannot be merged.

Contributing

We welcome contributions! See CONTRIBUTING.md for the full guide.

Quick steps:

1. Fork this repository
2. Copy servers/_template.yaml and fill in your server details
3. Run validation: python validate.py
4. Submit a pull request

Integration with OpenModels

MCP servers are ingested into the OpenModels platform and available via:

• Web UI — browse, filter, search, and compare at openmodels.run/mcp
• API — query programmatically via /api/v1/mcp/servers
• IDE configs — generate connection snippets for Claude Code, Cursor, Windsurf, Gemini CLI, Kiro, and VS Code
• Install button — one-click copy of install commands on each server detail page

License

MIT