MCP-Mem0: Your Gateway to Long-Term Agent Memory

@yellnuts

Basic information

About MCP-Mem0: Your Gateway to Long-Term Agent Memory

MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!

#agent #database #memory #mcp #assistant #persistent-memory #memory-management #llm #llm-memory #mem0#mem0ai#mcp-server #modelcontextprotocol #model-context-protocol-servers

MCP-Mem0: Your Gateway to Long-Term Agent Memory config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-mem0-yellnuts": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

MCP-Mem0: Your Gateway to Long-Term Agent Memory tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP-Mem0?

MCP-Mem0 is a Python-based server for managing long-term agent memory using Mem0. It also serves as a template for building custom MCP servers. It targets developers who need persistent memory storage for AI agents.

How to use MCP-Mem0?

Clone the repository, install dependencies with pip install -r requirements.txt, and run python server.py. The server starts on http://localhost:5000 and exposes HTTP endpoints for creating, retrieving, and deleting memories. Configuration can be adjusted in config.json.

Key features of MCP-Mem0

Long-term memory storage and retrieval for agents
Python‑based, easy to customize and extend
Lightweight with minimal resource requirements
Serves as a template for building new MCP servers
Configurable memory expiry, logging, and port

Use cases of MCP-Mem0

Persist conversation history for conversational AI agents
Maintain context across sessions in multi‑turn agent applications
Serve as a foundation for prototyping custom MCP servers
Experiment with memory management in research projects

Frequently asked questions

What does MCP-Mem0 do?

It provides a server that stores and retrieves long‑term memories for agents via HTTP requests, using the Mem0 system.

What are the system requirements?

Python 3.6 or higher and the packages listed in `requirements.txt`. No other runtime dependencies are specified.

How do I start the server?

After installing dependencies, run `python server.py` from the repository root. The server will listen on port 5000 by default.

What API endpoints are available?

Three main endpoints: `POST /memory` to create a memory, `GET /memory/{agent_id}` to retrieve it, and `DELETE /memory/{agent_id}` to delete it.

Can I configure memory expiry?

Yes. Edit the `config.json` file in the root directory to set parameters like `memory_expiry`, `logging_level`, and `port`.

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