概要
What is Letta MCP Server?
A high-performance Model Context Protocol (MCP) server for Letta AI, built with Rust and the TurboMCP framework, providing 7 consolidated tools covering 103 operations for managing agents, memory, tools, sources, jobs, files/folders, and MCP servers.
How to use Letta MCP Server?
Install globally via npm (npm install -g letta-mcp-server) or use Docker. Configure required environment variables LETTA_BASE_URL and LETTA_PASSWORD. Choose transport mode via TRANSPORT (stdio or http). Launch with stdio for Claude Desktop/Cursor or HTTP for production deployments.
Key features of Letta MCP Server
- 7 consolidated tools covering 103 operations via discriminator pattern
- High performance: Rust, ~10-30MB memory, <500ms startup
- Dual transport: stdio (Claude Desktop, Cursor) and HTTP (production)
- Response size optimizations with 68–96% reduction for LLM context
- Type-narrowed schemas with per-parameter descriptions
- Multi-platform support for macOS, Linux, Windows (x64 and arm64)
- Compile-time routing with zero runtime overhead
Use cases of Letta MCP Server
- Manage agent lifecycle, messaging, conversations, and context export/import
- Unify memory operations: core memory, blocks, archival passages, archives, and search
- Administer tools: CRUD, attach/detach, bulk operations, and schema generation
- Handle data sources: upload files, manage passages, and attach to agents
- Monitor jobs: track active jobs, cancel, and list all job statuses
FAQ from Letta MCP Server
What dependencies does Letta MCP Server require?
It requires a running Letta AI instance (0.16.x compatible) accessible via the LETTA_BASE_URL and authenticated with LETTA_PASSWORD. The server binary is self-contained when installed via npm or Docker.
