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Shared Memory MCP Server

Solving coordination tax in agentic teams - where Opus + 4 Sonnets burns 15x tokens but only gets 1.9x performance.

Prerequisites

  • Node.js 18+
  • npm or yarn
  • Claude Desktop (for MCP integration)

The Problem

Current agentic team patterns have terrible token efficiency:

  • Traditional: 1 request × 4K tokens = 4K tokens
  • Agentic Team: 1 coordinator + 4 workers × 12K tokens each = 48K+ tokens
  • Efficiency: 1.9x performance / 15x cost = 12% efficiency

This MCP server provides shared memory for agentic teams to achieve 6x token efficiency while maintaining coordination benefits.

Core Features

1. Context Deduplication

  • Store shared context once, reference by key
  • 10:1 compression ratio with intelligent summarization
  • Workers get 100-token summaries instead of full context

2. Incremental State Sharing

  • Append-only discovery system
  • Workers share findings in real-time
  • Delta updates prevent retransmission

3. Work Coordination

  • Claim-based work distribution
  • Dependency tracking and resolution
  • Reactive task handoff between workers

4. Token Efficiency

  • Context compression and lazy loading
  • Delta updates since last version
  • Expansion on demand for specific sections

Installation

# Clone the repository
git clone https://github.com/haasonsaas/shared-memory-mcp.git
cd shared-memory-mcp
# Install dependencies
npm install
# Build the server
npm run build

Quick Start

# Run in development mode
npm run dev
# Or run the built server
npm start
# Test the agentic workflow
npm test# or
npm run test-workflow

Usage Example

// 1. Create agentic session (coordinator)constsession=awaitmcp.callTool('create_agentic_session',{coordinator_id: 'opus-coordinator-1',worker_ids: ['sonnet-1','sonnet-2','sonnet-3','sonnet-4'],task_description: 'Analyze large codebase for performance issues',codebase_files: [...],// Full context stored oncerequirements: [...],constraints: [...]});// 2. Workers get compressed context (not full retransmission)constcontext=awaitmcp.callTool('get_worker_context',{session_id: session.session_id,worker_id: 'sonnet-1'});// Returns summary + reference, not full context// 3. Publish work units for coordinationawaitmcp.callTool('publish_work_units',{session_id: session.session_id,work_units: [{unit_id: 'analyze-auth',type: 'security',priority: 'high'},{unit_id: 'optimize-db',type: 'performance',dependencies: ['analyze-auth']}]});// 4. Workers claim and executeawaitmcp.callTool('claim_work_unit',{session_id: session.session_id,unit_id: 'analyze-auth',worker_id: 'sonnet-1',estimated_duration_minutes: 15});// 5. Share discoveries incrementallyawaitmcp.callTool('add_discovery',{session_id: session.session_id,worker_id: 'sonnet-1',discovery_type: 'vulnerability_found',data: {vulnerability: 'SQL injection in auth module'},affects_workers: ['sonnet-2']// Notify relevant workers});// 6. Get only new updates (delta, not full context)constdelta=awaitmcp.callTool('get_context_delta',{session_id: session.session_id,worker_id: 'sonnet-2',since_version: 5// Only get changes since version 5});

Architecture

┌─────────────────┐ ┌─────────────────┐
│ Opus Coordinator│ │ Shared Memory │
│ │────│ MCP Server │
│ - Task Planning │ │ │
│ - Work Units │ │ - Context Store │
│ - Coordination │ │ - Discovery Log │
└─────────────────┘ │ - Work Queue │
│ - Dependencies │
┌─────────────────┐ └─────────────────┘
│ Sonnet Workers │ │
│ │───────────┘
│ - Specialized │ │ - Parallel │ ┌─────────────────┐
│ - Coordinated │ │ Token Efficiency│
└─────────────────┘ │ │
│ 48K → 8K tokens │
│ 6x improvement │
│ 1200% better ROI│
└─────────────────┘

Token Efficiency Strategies

Context Compression

// Instead of sending full context (12K tokens):{full_context: {/* massive object */}}// Send compressed reference (100 tokens):{summary: "Task: Analyze TypeScript codebase...",reference_key: "ctx_123",expansion_hints: ["codebase_files","requirements"]}

Delta Updates

// Instead of retransmitting everything:get_full_context()// 12K tokens each time// Send only changes:get_context_delta(since_version: 5)// 200 tokens

Lazy Loading

// Workers request details only when needed:expand_context_section("codebase_files")// 2K tokensrequest_detail("file_content","auth.ts")// 500 tokens

API Reference

Session Management

  • create_agentic_session - Initialize coordinator + workers
  • get_session_info - Get session details
  • update_session_status - Update session state

Context Management

  • get_worker_context - Get compressed context for worker
  • expand_context_section - Get detailed section data
  • get_context_delta - Get incremental updates

Work Coordination

  • publish_work_units - Publish available work
  • claim_work_unit - Claim work for execution
  • update_work_status - Update work progress

Discovery Sharing

  • add_discovery - Share findings with team
  • get_discoveries_since - Get recent discoveries

Dependency Resolution

  • declare_outputs - Declare future outputs
  • await_dependency - Wait for dependency
  • publish_output - Publish output for others

MCP Configuration

For Claude Desktop

  1. Copy the example configuration:

    cp claude-desktop-config.example.json claude-desktop-config.json
  2. Edit claude-desktop-config.json and update the path to your installation:

    {
    "mcpServers": {
    "shared-memory": {
    "command": "node",
    "args": ["/absolute/path/to/shared-memory-mcp/dist/server.js"]
    }
    }
    }
  3. Add this configuration to your Claude Desktop config file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • Linux: ~/.config/Claude/claude_desktop_config.json

Note: The claude-desktop-config.json file is gitignored as it contains machine-specific paths.

Performance Benefits

MetricTraditionalAgentic (Current)Shared Memory MCP
Token Usage4K48K+8K
Performance Gain1x1.9x1.9x
Cost Efficiency100%12%1200%
CoordinationNonePoorExcellent

License

MIT

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Shared Memory MCP server for agentic teams - solving coordination tax with 6x token efficiency

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