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MemGPT MCP Server

by Vic563
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hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Integrations

  • 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.

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

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

This server cannot be installed

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A TypeScript-based server that provides a memory system for Large Language Models (LLMs), allowing users to interact with multiple LLM providers while maintaining conversation history and offering tools for managing providers and model configurations.

  1. Features
    1. Tools
  2. Development
    1. Installation
      1. Environment Variables
      2. Debugging
    2. Recent Updates
      1. Claude 3 and 3.5 Series Support (March 2024)
      2. Unlimited Memory Retrieval

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