Mem0 MCP server

Integrates with mem0.ai to store, retrieve, and semantically search coding preferences, snippets, and programming knowledge through a persistent FastMCP server using SSE connections.
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Provider
mem0
Release date
Mar 18, 2025
Language
Python
Stats
128 stars

This MCP server with Mem0 provides an organized system for managing coding preferences, enabling storage, retrieval, and search functionality through Cursor's Agent mode.

Installation

Prerequisites

Before getting started, make sure you have Git and Python installed on your system.

Setup Steps

  1. Clone the repository:

    git clone [repository-url]
    cd [repository-directory]
    
  2. Initialize the uv environment:

    uv venv
    
  3. Activate the virtual environment:

    source .venv/bin/activate
    
  4. Install the dependencies:

    uv pip install -e .
    
  5. Configure your Mem0 API key in a .env file:

    MEM0_API_KEY=your_api_key_here
    

Usage

Starting the Server

Start the MCP server with the following command:

uv run main.py

By default, the server runs on 0.0.0.0:8080. You can customize the host and port with:

uv run main.py --host <your host> --port <your port>

Connecting with Cursor

  1. Open Cursor code editor
  2. Connect to the SSE endpoint:
    http://0.0.0.0:8080/sse
    
  3. Open the Composer in Cursor and switch to Agent mode

Tools and Features

Managing Coding Preferences

The server provides three main tools:

Adding Coding Preferences

Use add_coding_preference to store code snippets and patterns with comprehensive context, including:

  • Complete code with dependencies
  • Language/framework versions
  • Setup instructions
  • Documentation and comments
  • Example usage
  • Best practices

Retrieving All Preferences

Use get_all_coding_preferences to:

  • Review all stored implementations
  • Analyze patterns
  • Ensure no relevant information is missed

Searching Preferences

Use search_coding_preferences to semantically search through stored preferences for:

  • Code implementations
  • Programming solutions
  • Best practices
  • Setup guides
  • Technical documentation

Server Details

The SSE-based server can run as a persistent process that agents connect to, use, and disconnect from as needed. This design enables a decoupled architecture where the server and clients can operate on different nodes.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.

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