Letta MCP server

Local 2025-09-01 00:41:10 0

Developer Tools @oculairmedia/Letta-MCP-server

An MCP server implementation that enables interaction with the Letta API for managing agents, memory blocks, and tools in the Letta system.

A server that provides tools for agent management, memory operations, and integration with the Letta system.

Quick Setup

Option 1: Run with Node.js

# Development (with hot reload)
npm run dev:sse     # SSE transport

# Production
npm run build       # Build TypeScript first
npm run start:sse   # SSE transport

Option 2: Run with Docker

# Build and run locally
docker build -t letta-mcp-server .
docker run -d -p 3001:3001 -e PORT=3001 -e NODE_ENV=production --name letta-mcp letta-mcp-server

# Or use the public image
docker run -d -p 3001:3001 -e PORT=3001 -e NODE_ENV=production --name letta-mcp ghcr.io/oculairmedia/letta-mcp-server:latest

Directory Structure

index.js - Main entry point
core/ - Core server functionality
tools/ - Individual tool implementations
transports/ - Server transport implementations (stdio and SSE)

Available Tools

Agent Management

Tool	Description	Required Parameters	Optional Parameters
`create_agent`	Create a new Letta agent	name, description	model, embedding
`list_agents`	List all available agents	-	filter
`prompt_agent`	Send a message to an agent	agent_id, message	-
`get_agent`	Get agent details by ID	agent_id	-
`modify_agent`	Update an existing agent	agent_id, update_data	-
`delete_agent`	Delete an agent	agent_id	-
`clone_agent`	Clone an existing agent	source_agent_id, new_agent_name	override_existing_tools, project_id
`bulk_delete_agents`	Delete multiple agents	-	agent_ids, agent_name_filter, agent_tag_filter

Memory Management

Tool	Description	Required Parameters	Optional Parameters
`list_memory_blocks`	List all memory blocks	-	filter, agent_id, page, pageSize, label
`create_memory_block`	Create a new memory block	name, label, value	agent_id, metadata
`read_memory_block`	Read a memory block	block_id	agent_id
`update_memory_block`	Update a memory block	block_id	value, metadata, agent_id
`attach_memory_block`	Attach memory to an agent	block_id, agent_id	label

Tool Management

Tool	Description	Required Parameters	Optional Parameters
`list_tools`	List all available tools	-	filter, page, pageSize
`list_agent_tools`	List tools for a specific agent	agent_id	-
`attach_tool`	Attach tools to an agent	agent_id	tool_id, tool_ids, tool_names
`upload_tool`	Upload a new tool	name, description, source_code	category, agent_id
`bulk_attach_tool_to_agents`	Attach a tool to multiple agents	tool_id	agent_name_filter, agent_tag_filter

Additional Tools

Model Management: list_llm_models, list_embedding_models
Archive Management: list_passages, create_passage, modify_passage, delete_passage
MCP Server Management: list_mcp_servers, list_mcp_tools_by_server
Import/Export: export_agent, import_agent

Docker Operations

# 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

Configuration with MCP Settings

Add the server to your mcp_settings.json:

"letta": {
  "command": "node",
  "args": [
    "--no-warnings",
    "--experimental-modules",
    "path/to/letta-server/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, use the URL configuration:

```json "remote_letta_tools": { "url": "http://your-server:3001/sse", "disabled": false, "alwaysAllow": [ "attach_tool", "list_agents", "list_tools", "get_agent" ], "timeout": 120 }