MCP Server with Mem0 for Managing Coding Preferences

This demonstrates a structured approach for using an MCP server with mem0 to manage coding preferences efficiently.

Installation

1. Clone this repository
2. Initialize the uv environment:

   uv venv
   

3. Activate the virtual environment:

   source .venv/bin/activate
   

4. Install the dependencies using uv:

   # Install in editable mode from pyproject.toml
   uv pip install -e .
   

5. Update .env file in the root directory with your mem0 API key:

   MEM0_API_KEY=your_api_key_here
   

Usage

1. Start the MCP server:

   uv run main.py
   

2. In Cursor, connect to the SSE endpoint, follow this doc for reference:

   http://0.0.0.0:8080/sse
   

3. Open the Composer in Cursor and switch to Agent mode.

Features

The server provides three main tools for managing code preferences:

1. add_coding_preference: Store code snippets, implementation details, and coding patterns with comprehensive context including:

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

2. get_all_coding_preferences: Retrieve all stored coding preferences to analyze patterns, review implementations, and ensure no relevant information is missed.
3. search_coding_preferences: Semantically search through stored coding preferences to find relevant:

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

Why?

This implementation allows for a persistent coding preferences system that can be accessed via MCP. The SSE-based server can run as a process that agents connect to, use, and disconnect from whenever needed. This pattern fits well with "cloud-native" use cases where the server and clients can be decoupled processes on different nodes.

Server

By default, the server runs on 0.0.0.0:8080 but is configurable with command line arguments like:

uv run main.py --host --port