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🤝 MCP Handoff Server

A Model Context Protocol (MCP) server that helps AI agents hand off work to each other with structured documentation and progress tracking.

✨ What it does

When AI agents need to pass work between each other, this server provides:

  • 📝 Structured handoff documents with templates

  • 🔄 Progress tracking from start to completion

  • 📁 Automatic organization of active and archived handoffs

  • 🔍 Easy searching and filtering of past work

🚀 Quick Start

Just run it with npx - no installation needed:

# Start in MCP mode (for MCP clients) npx -y mcp-handoff-server # Start HTTP server (for testing/direct API access) npx -y mcp-handoff-server --mode http

That's it! The server automatically creates all needed folders and templates.

📋 Basic Usage

For MCP Clients

Add to your MCP client configuration:

{ "mcpServers": { "handoff": { "command": "npx", "args": [ "-y", "mcp-handoff-server" ] } } }

For HTTP Testing

# Start server npx -y mcp-handoff-server --mode http # Test it works curl http://localhost:3001/health

🛠️ Available Tools

The server provides these MCP tools for AI agents:

graph LR A[📝 create_handoff] --> B[📖 read_handoff] B --> C[🔄 update_handoff] C --> D[✅ complete_handoff] D --> E[📦 archive_handoff] F[📋 list_handoffs] --> B style A fill:#e1f5fe style C fill:#f3e5f5 style D fill:#e8f5e8 style E fill:#fff3e0 style F fill:#fce4ec

Tool Functions:

  • create_handoff - Start a new handoff document

  • read_handoff - Read an existing handoff

  • update_handoff - Add progress updates

  • complete_handoff - Mark work as finished

  • archive_handoff - Move completed work to archive

  • list_handoffs - Find and filter handoffs

📖 Example: Creating a Handoff

# Start the server npx -y mcp-handoff-server --mode http # Create a new handoff curl -X POST http://localhost:3001/mcp \ -H "Content-Type: application/json" \ -d '{ "jsonrpc": "2.0", "id": 1, "method": "create_handoff", "params": { "type": "quick", "initialData": { "date": "2025-06-30", "time": "14:30 UTC", "currentState": { "workingOn": "Building user login", "status": "50% complete", "nextStep": "Add password validation" }, "environmentStatus": { "details": { "Server": "✅", "Database": "✅" } } } } }'

🔧 Command Options

npx -y mcp-handoff-server [options] Options: --mode <mode> 'mcp' or 'http' (default: mcp) --port <port> HTTP port (default: 3001) --handoff-root <dir> Storage directory (default: ./handoff-system) --help Show help --version Show version

🔄 How It Works

Simple Workflow

  1. Create a handoff when starting work

  2. Update progress as you work

  3. Complete when finished

  4. Archive for future reference

graph TD A[🤖 Agent Starts Work] --> B{New Work?} B -->|Yes| C[📝 create_handoff] B -->|No| D[📖 read_handoff] C --> E[📁 Active Handoff] D --> E E --> F[🔄 update_handoff] F --> G{Work Done?} G -->|No| F G -->|Yes| H[✅ complete_handoff] H --> I[📦 archive_handoff] I --> J[🗄️ Archived] style C fill:#e1f5fe style F fill:#f3e5f5 style H fill:#e8f5e8 style I fill:#fff3e0

File Organization

The server automatically organizes everything in folders:

  • handoff-system/active/ - Current work

  • handoff-system/archive/ - Completed work

  • handoff-system/templates/ - Document templates

🎯 Two Types of Handoffs

📋 Standard Handoff - For complex work with detailed context ⚡ Quick Handoff - For simple updates and brief transitions

🏷️ Status Indicators

  • Working - Everything good

  • ⚠️ Warning - Some issues but not blocked

  • Error - Problems that need fixing

🛠️ Development

Want to contribute or run locally?

# Clone and install git clone <repository-url> cd mcp-handoff-server npm install # Run in development npm run dev # Build for production npm run build

📄 License

MIT License - feel free to use this in your projects!

🆘 Need Help?


Built for seamless AI agent collaboration 🤖✨

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security - not tested
F
license - not found
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quality - not tested

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