shared-memory-mcp

shared-memory-mcp

3.2

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The Shared Memory MCP Server is designed to enhance token efficiency in agentic teams by providing shared memory and coordination features.

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 Γ— 4K tokens = 4K tokens
  • Agentic Team: 1 coordinator + 4 workers Γ— 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)
const session = await mcp.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 once
  requirements: [...],
  constraints: [...]
});

// 2. Workers get compressed context (not full retransmission)
const context = await mcp.callTool('get_worker_context', {
  session_id: session.session_id,
  worker_id: 'sonnet-1'
}); // Returns summary + reference, not full context

// 3. Publish work units for coordination
await mcp.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 execute
await mcp.callTool('claim_work_unit', {
  session_id: session.session_id,
  unit_id: 'analyze-auth',
  worker_id: 'sonnet-1',
  estimated_duration_minutes: 15
});

// 5. Share discoveries incrementally
await mcp.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)
const delta = await mcp.callTool('get_context_delta', {
  session_id: session.session_id,
  worker_id: 'sonnet-2',
  since_version: 5 // Only get changes since version 5
});

Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Opus Coordinatorβ”‚    β”‚ Shared Memory   β”‚
β”‚                 │────│ MCP Server      β”‚
β”‚ - Task Planning β”‚    β”‚                 β”‚
β”‚ - Work Units    β”‚    β”‚ - Context Store β”‚
β”‚ - Coordination  β”‚    β”‚ - Discovery Log β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β”‚ - Work Queue    β”‚
                       β”‚ - Dependencies  β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚ Sonnet Workers  β”‚           β”‚
β”‚                 β”‚β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚ - Specialized   β”‚    
β”‚ - Parallel      β”‚    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ - Coordinated   β”‚    β”‚ Token Efficiencyβ”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β”‚                 β”‚
                       β”‚ 48K β†’ 8K tokens β”‚
                       β”‚ 6x improvement  β”‚
                       β”‚ 1200% better ROIβ”‚
                       β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

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 tokens
request_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