Letta MCP Server

Name: Letta MCP Server
Author: oculairmedia

@oculairmedia

リポジトリ

Letta MCP Server について

MCP server to manage letta server and comunicate with agents

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

rust

トランスポート

stdio

公開者

oculairmedia

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "Letta-MCP-server": {
      "command": "docker",
      "args": [
        "pull",
        "ghcr.io/oculairmedia/letta-mcp-server-rust:rust-latest"
      ]
    }
  }
}

ツール

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.

How do I

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