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Letta MCP Server

by oculairmedia
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[![npm version](https://img.shields.io/npm/v/letta-mcp-server.svg)](https://www.npmjs.com/package/letta-mcp-server) [![npm downloads](https://img.shields.io/npm/dm/letta-mcp-server.svg)](https://www.npmjs.com/package/letta-mcp-server) [![npm downloads total](https://img.shields.io/npm/dt/letta-mcp-server.svg)](https://www.npmjs.com/package/letta-mcp-server) [![Docker Image](https://img.shields.io/badge/Docker-ghcr.io-blue)](https://github.com/oculairmedia/Letta-MCP-server/pkgs/container/letta-mcp-server) [![MseeP.ai Security Assessment Badge](https://mseep.net/mseep-audited.png)](https://mseep.ai/app/oculairmedia-letta-mcp-server) [![CI/CD](https://github.com/oculairmedia/letta-MCP-server/actions/workflows/test.yml/badge.svg)](https://github.com/oculairmedia/letta-MCP-server/actions/workflows/test.yml) [![Docker Build](https://github.com/oculairmedia/letta-MCP-server/actions/workflows/docker-build.yml/badge.svg)](https://github.com/oculairmedia/letta-MCP-server/actions/workflows/docker-build.yml) [![CodeQL](https://github.com/oculairmedia/letta-MCP-server/actions/workflows/codeql.yml/badge.svg)](https://github.com/oculairmedia/letta-MCP-server/actions/workflows/codeql.yml) [![Coverage Status](https://codecov.io/gh/oculairmedia/letta-MCP-server/branch/main/graph/badge.svg)](https://codecov.io/gh/oculairmedia/letta-MCP-server) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) # Letta MCP Server A Model Context Protocol (MCP) server that provides comprehensive tools for agent management, memory operations, and integration with the Letta system. This server implements the full MCP specification including tools, prompts, and resources, with enhanced descriptions, output schemas, and behavioral annotations. **[View on npm](https://www.npmjs.com/package/letta-mcp-server)** | **[View on GitHub](https://github.com/oculairmedia/Letta-MCP-server)** ## Features - 🤖 **Agent Management** - Create, modify, clone, and manage Letta agents - 🧠 **Memory Operations** - Handle memory blocks and passages - 🔧 **Tool Integration** - Attach and manage tools for agents with full MCP support - 💬 **Prompts** - Interactive wizards and assistants for common workflows - 📚 **Resources** - Access system information, documentation, and agent data - 🌐 **Multiple Transports** - HTTP, SSE, and stdio support - 🔗 **MCP Server Integration** - Integrate with other MCP servers - 📊 **Enhanced Metadata** - Output schemas and behavioral annotations for all tools - 📦 **Docker Support** - Easy deployment with Docker ## Environment Configuration Create a `.env` file with the following variables: ```bash # Required LETTA_BASE_URL=https://your-letta-instance.com/v1 LETTA_PASSWORD=your-secure-password # Optional PORT=3001 NODE_ENV=production ``` ## Installation ### Install from npm ```bash # Global installation (recommended for CLI usage) npm install -g letta-mcp-server # Or local installation npm install letta-mcp-server ``` ### Use with Claude Desktop After installing globally, add to your Claude Desktop configuration: ```json { "mcpServers": { "letta": { "command": "letta-mcp", "args": [], "env": { "LETTA_BASE_URL": "https://your-letta-instance.com/v1", "LETTA_PASSWORD": "your-secure-password" } } } } ``` ### Quick Start with npm ```bash # Install globally npm install -g letta-mcp-server # Set environment variables export LETTA_BASE_URL=https://your-letta-instance.com/v1 export LETTA_PASSWORD=your-secure-password # Run the server letta-mcp # stdio (for Claude Desktop) letta-mcp --http # HTTP transport letta-mcp --sse # SSE transport ``` ## Implementation Options This repository provides **three different implementations** of the Letta MCP server, allowing you to choose the best option for your use case: ### 🔵 Classic Individual Tools (master branch) **Branch:** `master` The original implementation with individual tools for each API endpoint. **Best for:** - Users who prefer individual, focused tools - Compatibility with existing integrations - Granular tool selection and control - Learning the Letta API one operation at a time **Docker Images:** ```bash # Latest master branch build docker pull ghcr.io/oculairmedia/letta-mcp-server:master ``` **Features:** - 70+ individual tools, each handling one specific operation - Direct mapping to Letta API endpoints - Simple, straightforward tool names - Full MCP protocol support (tools, prompts, resources) - Multiple transport protocols (HTTP, SSE, stdio) ### 🟢 Node.js Consolidated Tools (Recommended for most users) **Branch:** `nodejs-consolidated-tools` Modern implementation with 7 consolidated tools using the discriminator pattern. **Best for:** - Production deployments - Claude Desktop integration - npm package consumers - Teams who want fewer tools with more functionality **Docker Images:** ```bash # Latest stable release docker pull ghcr.io/oculairmedia/letta-mcp-server:latest # Specific version docker pull ghcr.io/oculairmedia/letta-mcp-server:2.0.1 # Development branch docker pull ghcr.io/oculairmedia/letta-mcp-server:nodejs-consolidated-tools ``` **Features:** - 7 consolidated tools covering 87 operations - 93% SDK coverage with official @letta-ai/letta-client - Discriminator pattern (use `operation` parameter) - Enhanced error handling and validation - Full MCP protocol support (tools, prompts, resources) - Comprehensive test suite and documentation ### 🦀 Rust Implementation (Performance-focused alternative) **Branch:** `rust-implementation` High-performance implementation built with Rust and the TurboMCP framework. **Best for:** - Resource-constrained environments - Maximum performance requirements - Low memory footprint needs - Teams familiar with Rust **Docker Images:** ```bash # Latest Rust build docker pull ghcr.io/oculairmedia/letta-mcp-server-rust:rust-latest # Development branch docker pull ghcr.io/oculairmedia/letta-mcp-server-rust:rust-implementation ``` **Features:** - Same 7 consolidated tools with full feature parity - Built on TurboMCP framework for MCP protocol - Compile-time type safety and validation - Lower memory usage and faster execution - Multi-architecture Docker builds (amd64, arm64) ### Comparison | Feature | Classic (master) | Node.js Consolidated | Rust | |---------|------------------|---------------------|------| | **Tool Count** | 70+ individual | 7 consolidated | 7 consolidated | | **API Pattern** | One tool per endpoint | Discriminator pattern | Discriminator pattern | | **Maturity** | ✅ Original | ✅ Production-ready | 🟡 Stable, newer | | **Performance** | Good | Good | Excellent | | **Memory Usage** | ~50-100MB | ~50-100MB | ~10-30MB | | **Startup Time** | ~1-2s | ~1-2s | ~100-500ms | | **SDK Integration** | Direct API calls | 93% official SDK | Custom API client | | **Type Safety** | Runtime validation | TypeScript (runtime) | Rust (compile-time) | | **Package Manager** | npm | npm | Docker/Cargo | | **Use Case** | Simple, focused | Production, feature-rich | Performance-critical | ### Choosing an Implementation **Use Classic (master) if:** - You prefer individual, single-purpose tools - You're already using the original implementation - You want simple, straightforward tool names - You're learning the Letta API **Use Node.js Consolidated if:** - You need a battle-tested, production-ready solution - You want fewer tools with comprehensive functionality - You're using npm packages or Claude Desktop - You want SDK-powered reliability and type safety **Use Rust if:** - You need maximum performance - You're running in resource-constrained environments (edge, embedded) - You prefer compile-time safety guarantees - You're comfortable with Docker-based deployment All three implementations provide identical functionality and MCP protocol compliance. You can switch between them at any time without changing your Letta instance configuration. ## Quick Setup ### Option 1: Run from source ```bash # Clone the repository git clone https://github.com/oculairmedia/letta-MCP-server.git cd letta-MCP-server # Install dependencies npm install # Development npm run dev # Default (stdio) transport npm run dev:sse # SSE transport npm run dev:http # HTTP transport (recommended) # Production npm run start # Default (stdio) transport npm run start:sse # SSE transport npm run start:http # HTTP transport (recommended) ``` ### Option 2: Run with Docker #### Using the prebuilt image from GitHub Container Registry Available tags: - `latest` - Latest stable release - `2.0.1`, `2.0`, `2` - Specific version tags - `master` - Latest master branch build ```bash # Pull the latest image docker pull ghcr.io/oculairmedia/letta-mcp-server:latest # Run with environment variables docker run -d \ -p 3001:3001 \ -e LETTA_BASE_URL=https://your-letta-instance.com/v1 \ -e LETTA_PASSWORD=your-secure-password \ -e PORT=3001 \ -e NODE_ENV=production \ --name letta-mcp \ ghcr.io/oculairmedia/letta-mcp-server:latest # Or use a specific version docker run -d \ -p 3001:3001 \ -e LETTA_BASE_URL=https://your-letta-instance.com/v1 \ -e LETTA_PASSWORD=your-secure-password \ --name letta-mcp \ ghcr.io/oculairmedia/letta-mcp-server:2.0.1 ``` #### Using Docker Compose ```yaml version: '3.8' services: letta-mcp: image: ghcr.io/oculairmedia/letta-mcp-server:latest container_name: letta-mcp ports: - "3001:3001" environment: - LETTA_BASE_URL=https://your-letta-instance.com/v1 - LETTA_PASSWORD=your-secure-password - PORT=3001 - NODE_ENV=production restart: unless-stopped ``` #### Building from source ```bash # Clone and build locally git clone https://github.com/oculairmedia/letta-MCP-server.git cd letta-MCP-server docker build -t letta-mcp-server . docker run -d -p 3001:3001 --env-file .env --name letta-mcp letta-mcp-server ``` ### Option 3: Run with stdio for local MCP ```bash # Create startup script chmod +x /opt/stacks/letta-MCP-server/start-mcp.sh # Add to Claude claude mcp add --transport stdio letta-tools "/opt/stacks/letta-MCP-server/start-mcp.sh" ``` ## Architecture See the [Architecture Documentation](docs/ARCHITECTURE.md) for detailed system diagrams and component relationships. ## MCP Protocol Support This server implements the full MCP specification with all three capabilities: ### 🔧 Tools All tools include: - **Enhanced Descriptions**: Detailed explanations with use cases and best practices - **Output Schemas**: Structured response definitions for predictable outputs - **Behavioral Annotations**: Hints about tool behavior (readOnly, costLevel, executionTime, etc.) ### 💬 Prompts Interactive prompts for common workflows: - `letta_agent_wizard` - Guided agent creation with memory and tool setup - `letta_memory_optimizer` - Analyze and optimize agent memory usage - `letta_debug_assistant` - Troubleshoot agent issues - `letta_tool_config` - Discover, attach, create, or audit tools - `letta_migration` - Export, import, upgrade, or clone agents ### 📚 Resources Access system information and documentation: - `letta://system/status` - System health and version info - `letta://system/models` - Available LLM and embedding models - `letta://agents/list` - Overview of all agents - `letta://tools/all/docs` - Complete tool documentation with examples - `letta://docs/mcp-integration` - Integration guide - `letta://docs/api-reference` - API quick reference Resource templates for dynamic content: - `letta://agents/{agent_id}/config` - Agent configuration - `letta://agents/{agent_id}/memory/{block_id}` - Memory block content - `letta://tools/{tool_name}/docs` - Individual tool documentation ## Available Tools ### Agent Management | Tool | Description | Annotations | |------|-------------|-------------| | `create_agent` | Create a new Letta agent | 💰 Medium cost, ⚡ Fast | | `list_agents` | List all available agents | 👁️ Read-only, 💰 Low cost | | `prompt_agent` | Send a message to an agent | 💰 High cost, ⏱️ Variable time, 🔒 Rate limited | | `retrieve_agent` | Get agent details by ID | 👁️ Read-only, ⚡ Fast | | `get_agent_summary` | Get agent summary information | 👁️ Read-only, ⚡ Fast | | `modify_agent` | Update an existing agent | ✏️ Modifies state, ⚡ Fast | | `delete_agent` | Delete an agent | ⚠️ Dangerous, 🗑️ Permanent | | `clone_agent` | Clone an existing agent | 💰 Medium cost, ⏱️ Medium time | | `bulk_delete_agents` | Delete multiple agents | ⚠️ Dangerous, 📦 Bulk operation | | `export_agent` | Export agent configuration and memory | 👁️ Read-only, ⚡ Fast, 📦 Full backup | | `import_agent` | Import agent from backup | 💰 High cost, ⏱️ Slow, ✏️ Creates state | ### Memory Management | Tool | Description | Annotations | |------|-------------|-------------| | `list_memory_blocks` | List all memory blocks | 👁️ Read-only, ⚡ Fast | | `create_memory_block` | Create a new memory block | ✏️ Creates state, ⚡ Fast | | `read_memory_block` | Read a memory block | 👁️ Read-only, ⚡ Fast | | `update_memory_block` | Update a memory block | ✏️ Modifies state, ⚡ Fast | | `attach_memory_block` | Attach memory to an agent | ✏️ Links resources, ⚡ Fast | ### Passage Management | Tool | Description | Annotations | |------|-------------|-------------| | `list_passages` | Search archival memory | 👁️ Read-only, ⚡ Fast | | `create_passage` | Create archival memory | 💰 Medium cost (embeddings), ⚡ Fast | | `modify_passage` | Update archival memory | 💰 Medium cost (re-embedding), ⚡ Fast | | `delete_passage` | Delete archival memory | 🗑️ Permanent, ⚡ Fast | ### Tool Management | Tool | Description | Annotations | |------|-------------|-------------| | `list_agent_tools` | List tools for an agent | 👁️ Read-only, ⚡ Fast | | `attach_tool` | Attach tools to an agent | ✏️ Modifies capabilities, ⚡ Fast | | `upload_tool` | Upload a custom tool | 🔒 Security: Executes code, ⚡ Fast | | `bulk_attach_tool_to_agents` | Attach tool to multiple agents | 📦 Bulk operation, ⏱️ Slow | ### Model Management | Tool | Description | Annotations | |------|-------------|-------------| | `list_llm_models` | List available LLM models | 👁️ Read-only, ⚡ Fast | | `list_embedding_models` | List available embedding models | 👁️ Read-only, ⚡ Fast | ### MCP Integration | Tool | Description | Annotations | |------|-------------|-------------| | `list_mcp_servers` | List configured MCP servers | 👁️ Read-only, ⚡ Fast | | `list_mcp_tools_by_server` | List tools from an MCP server | 👁️ Read-only, ⚡ Fast | | `add_mcp_tool_to_letta` | Import MCP tool to Letta | ✏️ Creates tool, ⚡ Fast | ### Prompt Tools | Tool | Description | Annotations | |------|-------------|-------------| | `list_prompts` | List available prompt templates | 👁️ Read-only, ⚡ Fast | | `use_prompt` | Execute a prompt template | 💰 Variable cost, ⏱️ Variable time | ## Directory Structure - `src/index.js` - Main entry point - `src/core/` - Core server functionality - `src/handlers/` - Prompt and resource handlers - `src/examples/` - Example prompts and resources - `src/tools/` - Tool implementations organized by category: - `agents/` - Agent management tools - `memory/` - Memory block tools - `passages/` - Passage management tools - `tools/` - Tool attachment and management - `mcp/` - MCP server integration tools - `models/` - Model listing tools - `enhanced-descriptions.js` - Detailed tool descriptions - `output-schemas.js` - Structured output definitions - `annotations.js` - Behavioral hints - `src/transports/` - Server transport implementations ## Transport Protocols The server supports three transport protocols: 1. **HTTP (Recommended)** - Streamable HTTP transport with full duplex communication - Endpoint: `http://your-server:3001/mcp` - Best for production use and remote connections - Supports health checks at `/health` 2. **SSE (Server-Sent Events)** - Real-time event streaming - Endpoint: `http://your-server:3001/sse` - Good for unidirectional server-to-client updates 3. **stdio** - Standard input/output - Direct process communication - Best for local development and Claude integration ## Configuration with MCP Settings Add the server to your mcp_settings.json: ```json "letta": { "command": "node", "args": [ "--no-warnings", "--experimental-modules", "path/to/letta-server/src/index.js" ], "env": { "LETTA_BASE_URL": "https://your-letta-instance.com", "LETTA_PASSWORD": "yourPassword" }, "disabled": false, "alwaysAllow": [ "upload_tool", "attach_tool", "list_agents", "list_memory_blocks" ], "timeout": 300 } ``` For remote instances with HTTP transport (recommended): ```json "remote_letta_tools": { "url": "http://your-server:3001/mcp", "transport": "http", "disabled": false, "alwaysAllow": [ "attach_tool", "list_agents", "list_tools", "get_agent" ], "timeout": 120 } ``` ## Docker Operations ```bash # View container logs docker logs -f letta-mcp # Stop the container docker stop letta-mcp # Update to latest version docker pull ghcr.io/oculairmedia/letta-mcp-server:latest docker stop letta-mcp docker rm letta-mcp docker run -d -p 3001:3001 -e PORT=3001 -e NODE_ENV=production --name letta-mcp ghcr.io/oculairmedia/letta-mcp-server:latest ``` ## Troubleshooting ### Common Issues 1. **Connection refused errors** - Ensure the server is running and accessible - Check firewall settings for port 3001 - Verify the correct transport protocol is being used 2. **Authentication failures** - Verify LETTA_BASE_URL includes `/v1` suffix - Check LETTA_PASSWORD is correct - Ensure environment variables are loaded - When self-hosting the Letta-Server, set environment variables accordingly: ```json "env": { "LETTA_BASE_URL": "http://localhost:8283", "LETTA_PASSWORD": "", "LOG_LEVEL": "info" } ``` 3. **Tool execution timeouts** - Increase timeout values in MCP configuration - Check network latency for remote connections - Consider using HTTP transport for better reliability ### Health Check The HTTP transport provides a health endpoint: ```bash curl http://your-server:3001/health ``` Response: ```json { "status": "healthy", "transport": "streamable_http", "protocol_version": "2025-06-18", "sessions": 0, "uptime": 12345.678 } ``` ## Development ### Testing ```bash # Run tests npm test # Run tests with coverage npm run test:coverage # Run linter npm run lint ``` ### Contributing We welcome contributions! Please see our [Contributing Guide](docs/CONTRIBUTING.md) for details on: - Development setup - Code style and standards - Adding new tools - Testing requirements - Pull request process ## Security For security vulnerabilities, please see our [Security Policy](docs/SECURITY.md). ## License MIT License - see LICENSE file for details

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