I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

Letta-MCP-server
MCP server to manage letta server and comunicate with agents
3 years
Works with Finder
2
Github Watches
3
Github Forks
9
Github Stars
Letta MCP Server
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:
"remote_letta_tools": {
"url": "http://your-server:3001/sse",
"disabled": false,
"alwaysAllow": [
"attach_tool",
"list_agents",
"list_tools",
"get_agent"
],
"timeout": 120
}
相关推荐
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
Confidential guide on numerology and astrology, based of GG33 Public information
A geek-themed horoscope generator blending Bitcoin prices, tech jargon, and astrological whimsy.
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Therapist adept at identifying core issues and offering practical advice with images.
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
A unified API gateway for integrating multiple etherscan-like blockchain explorer APIs with Model Context Protocol (MCP) support for AI assistants.
Mirror ofhttps://github.com/agentience/practices_mcp_server
Mirror ofhttps://github.com/bitrefill/bitrefill-mcp-server
Reviews

user_CHYUbzmN
As a loyal user of mcp_server, I must say it has significantly improved my server management experience. The interface is user-friendly, and the performance is top-notch. The detailed documentation provided by karansharma3009 makes setup and maintenance a breeze. Highly recommended for anyone looking to streamline their server operations. Check it out here: https://mcp.so/server/mcp_server/karansharma3009