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Memgpt

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A Model Context Protocol (MCP) server that provides persistent memory and multi-model LLM support.

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About

A Model Context Protocol (MCP) server that provides persistent memory and multi-model LLM support.

README

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

from github.com/Vic563/Memgpt-MCP-Server

Installing Memgpt

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/Vic563/Memgpt-MCP-Server

FAQ

Is Memgpt MCP free?

Yes, Memgpt MCP is free — one-click install via Unyly at no cost.

Does Memgpt need an API key?

No, Memgpt runs without API keys or environment variables.

Is Memgpt hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Memgpt in Claude Desktop, Claude Code or Cursor?

Open Memgpt on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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