🇨🇳 中文文档

Mem0 MCP Server Setup

This is a local MCP server for Mem0, allowing you to store and search memories directly from Cursor.

Prerequisites

• Python 3.10+

• A Mem0 API Key (Get one at https://app.mem0.ai/)

Related MCP server: Mem0 MCP Server

Installation

1. Install Dependencies:

   python3 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt

2. Configure API Key: 🚀 Recommended: Set MEM0_API_KEY directly in the env section of mcp.json (no .env file needed, see Cursor config below).

   Or use .env file:

   • Copy .env.example to .env:

     cp .env.example .env

   • Open .env and replace your_mem0_api_key_here with your actual Mem0 API Key.

Cursor Configuration (mcp.json)

Add the following entry to your Cursor mcp.json file (usually located at ~/.cursor/mcp.json or accessible via Cursor Settings > MCP):

{
  "mcpServers": {
    "mem0": {
      "command": "/Users/alexnear/Documents/mem0MCP/venv/bin/python",
      "args": [
        "/Users/alexnear/Documents/mem0MCP/server.py"
      ],
      "env": {
        "MEM0_API_KEY": "your_api_key_here" 
      }
    }
  }
}

Note:

• 🚀 Preferred: Set MEM0_API_KEY directly in the env section of mcp.json - FastMCP passes it to the server process automatically.

• Alternative: Use .env file (loaded via python-dotenv). Ensure server runs from the directory containing .env.

• Ensure the python command points to the python environment where you installed the requirements (e.g., if you used a venv, point to venv/bin/python).

Tools Provided

1. add_memory: Stores messages/interactions.

2. search_memories: Semantically searches stored memories (v2).