Letta MCP Server Railway Edition

Letta MCP Server Railway Edition

Enables AI clients to interact with Letta.ai's stateful agents via cloud deployment on Railway. Provides 20+ tools for agent management, conversations, memory operations, and tool configuration through a streamable HTTP transport optimized for production use.

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🚂 Letta MCP Server Railway Edition

Deploy on Railway Version License Railway Compatible Python MCP

Cloud-optimized HTTP transport edition of Letta MCP Server - Deploy to Railway in 30 seconds.

Universal MCP server connecting any AI client to Letta.ai's powerful stateful agents via streamable HTTP for seamless cloud deployment.


🚀 Quick Deploy to Railway

Deploy on Railway

Prerequisites

  • Letta API key from api.letta.com (free tier available)
  • Railway account (free tier includes 500 hours/month)

One-Click Deployment

  1. Click the deploy button above
  2. Connect your GitHub account to Railway
  3. Add environment variable: LETTA_API_KEY=your_letta_api_key_here
  4. Deploy - your MCP server will be live in under 2 minutes!

Your MCP Server URL

https://your-app-name.up.railway.app/mcp

⚡ Integration with AI Clients

Claude Desktop (ADE Integration)

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "letta-railway": {
      "url": "https://your-app.up.railway.app/mcp",
      "transport": "streamable_http",
      "timeout": 300,
      "headers": {
        "User-Agent": "Claude-Desktop-MCP/1.0"
      }
    }
  }
}

MCP Inspector Testing

Test your deployment with the MCP Inspector:

npx @modelcontextprotocol/inspector https://your-app.up.railway.app/mcp

GitHub Copilot & VS Code

{
  "mcp.servers": {
    "letta-railway": {
      "transport": "streamable_http",
      "url": "https://your-app.up.railway.app/mcp"
    }
  }
}

Other MCP Clients

  • Cursor: Add server to MCP configuration
  • Replit: Use MCP-compatible endpoint configuration
  • Sourcegraph Cody: Configure via OpenCtx bridge
  • Any MCP Client: Use streamable HTTP transport

🔧 Configuration

Environment Variables

Variable Required Default Description
LETTA_API_KEY ✅ Yes - Your Letta API key from api.letta.com
LETTA_BASE_URL No https://api.letta.com Letta API endpoint (for self-hosted)
PORT No 8000 Railway auto-assigns this
LETTA_TIMEOUT No 60 Request timeout in seconds
LETTA_MAX_RETRIES No 3 Max retry attempts for failed requests

Letta Cloud Setup

  1. Sign up: Create account at letta.com
  2. Get API key: Visit api.letta.com → Settings → API Keys
  3. Create agent: Use the web interface to create your first agent
  4. Test connection: Use letta_health_check tool to verify

🛠️ Available Tools (20+ Letta Functions)

🤖 Agent Management

  • letta_list_agents - List all agents with pagination and filtering
  • letta_create_agent - Create new agents with memory blocks and tools
  • letta_get_agent - Get detailed agent information
  • letta_update_agent - Update agent configuration (name, description, model)
  • letta_delete_agent - Safely delete agents with confirmation

💬 Conversations

  • letta_send_message - Send messages to agents with streaming support
  • letta_get_conversation_history - Retrieve chat history with pagination
  • letta_export_conversation - Export conversations (markdown, JSON, text)

🧠 Memory Management

  • letta_get_memory - View all memory blocks for an agent
  • letta_update_memory - Update memory blocks (human, persona, custom)
  • letta_create_memory_block - Create custom memory blocks
  • letta_search_memory - Search through agent conversation memory

🔧 Tool Management

  • letta_list_tools - List all available tools with filtering
  • letta_get_agent_tools - View tools attached to specific agents
  • letta_attach_tool - Add tools to agents
  • letta_detach_tool - Remove tools from agents

📊 Monitoring & Health

  • letta_health_check - Verify API connection and service status
  • letta_get_usage_stats - Get usage statistics and analytics

🏗️ Technical Architecture

Railway-Optimized Features

  • Streamable HTTP Transport: Optimized for cloud deployment vs stdio
  • Connection Pooling: Maintains persistent connections for performance
  • Auto-scaling: Railway automatically scales based on demand
  • Zero-downtime Deploys: Hot reloading without connection loss
  • Built-in Monitoring: Railway dashboard shows metrics and logs

Performance Optimizations

# Optimized for Railway cloud environment
- HTTP keep-alive connections
- Request/response compression  
- Intelligent retry logic with backoff
- Memory-efficient JSON streaming
- Automatic connection pool management

Transport Comparison

Feature stdio (local) streamable-http (Railway)
Cloud deployment ❌ No ✅ Yes
Load balancing ❌ No ✅ Auto
Horizontal scaling ❌ No ✅ Yes
Health monitoring ❌ Limited ✅ Full
Zero-downtime deploys ❌ No ✅ Yes

💻 Local Development

Quick Local Setup

# Clone the repository
git clone https://github.com/SNYCFIRE-CORE/letta-mcp-server-railway.git
cd letta-mcp-server-railway

# Install dependencies  
pip install -e .

# Set environment variables
export LETTA_API_KEY=your_api_key_here

# Run locally
python -m letta_mcp_server_railway.server

Local Testing

# Test with MCP Inspector
npx @modelcontextprotocol/inspector http://localhost:8000/mcp

# Or use curl
curl -X POST http://localhost:8000/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}'

Development Commands

# Run tests
pytest tests/

# Format code
black src/ tests/

# Type checking  
mypy src/

# Lint
ruff check src/

🔍 Troubleshooting

Common Issues

1. "Connection refused" error

# Check if your Railway app is running
curl https://your-app.up.railway.app/health

# Verify environment variables in Railway dashboard
# Ensure LETTA_API_KEY is set correctly

2. "Invalid API key" error

# Test your Letta API key directly
curl -H "Authorization: Bearer your_api_key" https://api.letta.com/v1/agents

3. "Timeout" errors

# Increase timeout in your MCP client configuration
{
  "mcpServers": {
    "letta-railway": {
      "url": "https://your-app.up.railway.app/mcp",
      "transport": "streamable_http", 
      "timeout": 300  // Increase to 5 minutes
    }
  }
}

4. Claude Desktop not connecting

  • Restart Claude Desktop after configuration changes
  • Check configuration file syntax with a JSON validator
  • Verify the URL is accessible from your browser

Getting Help

  1. Check Railway logs: View deployment logs in Railway dashboard
  2. Test health endpoint: Visit https://your-app.up.railway.app/health
  3. Verify MCP endpoint: Test with MCP Inspector
  4. Community support: Join Letta Discord
  5. Report issues: GitHub Issues

🚀 Production Deployment

Railway Deployment Best Practices

Environment Management

# Production environment variables
LETTA_API_KEY=your_production_api_key
LETTA_BASE_URL=https://api.letta.com
PORT=8000  # Railway manages this automatically
LETTA_TIMEOUT=300
LETTA_MAX_RETRIES=5

Health Monitoring

Railway provides built-in monitoring, but you can also:

  • Set up custom health checks
  • Monitor response times and error rates
  • Configure alerts for downtime

Scaling Configuration

# railway.toml - Production settings
[build]
builder = "DOCKERFILE"

[deploy] 
restartPolicyType = "ON_FAILURE"

[[deploy.environmentVariables]]
name = "PORT"
value = "8000"

📖 Resources

Documentation

Community & Support

Examples & Tutorials


🤝 Contributing

We welcome contributions to make Letta MCP Server Railway even better!

Quick Contribution Guide

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/amazing-feature
  3. Make your changes and add tests
  4. Test locally: pytest tests/
  5. Commit with clear messages: git commit -m "Add amazing feature"
  6. Push to your fork: git push origin feature/amazing-feature
  7. Submit a Pull Request

Development Setup

# Fork and clone your fork
git clone https://github.com/YOUR_USERNAME/letta-mcp-server-railway.git
cd letta-mcp-server-railway

# Install development dependencies
pip install -e ".[dev]"

# Install pre-commit hooks
pre-commit install

# Run tests
pytest tests/ -v

Areas We Need Help

  • 📖 Documentation improvements
  • 🧪 Additional test coverage
  • 🔧 Railway deployment optimizations
  • 🌐 Multi-language client examples
  • 🐛 Bug fixes and performance improvements

📜 License

MIT License - see LICENSE for details.


🙏 Acknowledgments

Built with ❤️ by the community for seamless AI agent deployment.

Special Thanks:

  • Letta.ai for revolutionary stateful agents
  • Railway for exceptional deployment platform
  • Anthropic for MCP specification leadership
  • FastMCP for HTTP transport framework
  • All contributors making this project possible

<p align="center"> <strong>🚂 Deploy Letta agents to the cloud in 30 seconds - Railway makes it effortless.</strong> </p>

<p align="center"> <a href="https://railway.app/new/template?template=https://github.com/SNYCFIRE-CORE/letta-mcp-server-railway"> <img src="https://railway.app/button.svg" alt="Deploy on Railway"> </a> </p>

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