Overview

The Letta MCP Server provides a bridge between AI models and the Letta agent management system. It allows language models to create, manage, and interact with Letta agents, their memories, and associated tools in a standardized way.

Created by:

Developed by Oculair Media

Key Features

🤖

Agent Management

Create, modify, clone, and manage Letta agents

🧠

Memory Operations

Handle memory blocks and passages for agents

🔧

Tool Integration

Attach and manage tools for agents with full MCP support

📊

Enhanced Metadata

Output schemas and behavioral annotations for all tools

Available Tools

The Letta MCP server offers consolidated tools that use a discriminator pattern. You specify the desired operation within the tool arguments.

Quick Reference

Tool	Purpose	Category
`agent`	Manage Letta agents	Agent Management
`memory`	Handle memory blocks	Memory
`tool`	Manage agent tools	Tool Management

Detailed Usage

agent▶

Perform operations on Letta agents, such as creating, listing, or messaging.

// Create a new agent
use_mcp_tool({
  server_name: "letta",
  tool_name: "agent",
  arguments: {
    operation: "create_agent",
    name: "My New Agent",
    model: "openai/gpt-4"
  }
});

// Send a message to an agent
use_mcp_tool({
  server_name: "letta",
  tool_name: "agent",
  arguments: {
    operation: "message_agent",
    agent_id: "agent-123",
    message: "Hello, agent!"
  }
});

memory▶

Manage memory blocks for agents.

// Create a memory block
use_mcp_tool({
  server_name: "letta",
  tool_name: "memory",
  arguments: {
    operation: "create_memory_block",
    name: "agent_persona",
    label: "persona",
    value: "You are a helpful assistant."
  }
});

tool▶

Manage tools for agents.

// List available tools
use_mcp_tool({
  server_name: "letta",
  tool_name: "tool",
  arguments: {
    operation: "list_tools"
  }
});

Installation

{
  "mcpServers": {
    "letta": {
      "command": "npx",
      "args": [
        "-y",
        "letta-mcp-server"
      ],
      "env": {
        "LETTA_BASE_URL": "https://your-letta-instance.com/v1",
        "LETTA_PASSWORD": "your-secure-password"
      }
    }
  }
}

Sources

Git MCP Server

Git MCP servers enable AI models to interact with Git version control systems, providing capabilities for repository management, branch operations, commit handling, and collaborative development workflows.

YouTube Research MCP Server

YouTube Research MCP servers enable AI models to interact with YouTube content, providing capabilities for video information retrieval, transcript management, channel analysis, and playlist management.

Notion MCP Server

Connect AI assistants to Notion workspaces for page management, database operations, content search, and workspace automation through the official Notion MCP Server.

Letta MCP Server