Which integrations are available for this server?

Allows communication with locally available Ollama models (like llama2, codellama) while maintaining persistent conversation history. Enables messaging with OpenAI models including gpt-4o, gpt-4o-mini, and gpt-4-turbo while preserving conversation memory across sessions.

How do I use MemGPT MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MemGPT MCP Server chat what are the main features of Claude 3.5 Sonnet?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MemGPT MCP Server

A TypeScript-based MCP server that implements a memory system for LLMs. It provides tools for chatting with different LLM providers while maintaining conversation history.

Features

Tools

chat - Send a message to the current LLM provider
- Takes a message parameter
- Supports multiple providers (OpenAI, Anthropic, OpenRouter, Ollama)
get_memory - Retrieve conversation history
- Optional limit parameter to specify number of memories to retrieve
- Pass limit: null for unlimited memory retrieval
- Returns memories in chronological order with timestamps
clear_memory - Clear conversation history
- Removes all stored memories
use_provider - Switch between different LLM providers
- Supports OpenAI, Anthropic, OpenRouter, and Ollama
- Persists provider selection
use_model - Switch to a different model for the current provider
- Supports provider-specific models:
  - Anthropic Claude Models:
    - Claude 3 Series:
      - claude-3-haiku: Fastest response times, ideal for tasks like customer support and content moderation
      - claude-3-sonnet: Balanced performance for general-purpose use
      - claude-3-opus: Advanced model for complex reasoning and high-performance tasks
    - Claude 3.5 Series:
      - claude-3.5-haiku: Enhanced speed and cost-effectiveness
      - claude-3.5-sonnet: Superior performance with computer interaction capabilities
  - OpenAI: 'gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo'
  - OpenRouter: Any model in 'provider/model' format (e.g., 'openai/gpt-4', 'anthropic/claude-2')
  - Ollama: Any locally available model (e.g., 'llama2', 'codellama')
- Persists model selection

Related MCP server: File Context MCP

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "letta-memgpt": { "command": "/path/to/memgpt-server/build/index.js", "env": { "OPENAI_API_KEY": "your-openai-key", "ANTHROPIC_API_KEY": "your-anthropic-key", "OPENROUTER_API_KEY": "your-openrouter-key" } } } }

Environment Variables

OPENAI_API_KEY - Your OpenAI API key
ANTHROPIC_API_KEY - Your Anthropic API key
OPENROUTER_API_KEY - Your OpenRouter API key

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Recent Updates

Claude 3 and 3.5 Series Support (March 2024)

Added support for latest Claude models:
- Claude 3 Series (Haiku, Sonnet, Opus)
- Claude 3.5 Series (Haiku, Sonnet)

Unlimited Memory Retrieval

Added support for retrieving unlimited conversation history
Use { "limit": null } with the get_memory tool to retrieve all stored memories
Use { "limit": n } to retrieve the n most recent memories
Default limit is 10 if not specified