Mem0 Coding Preferences MCP Server

Knowledge & MemoryPython

Store and retrieve coding preferences with semantic search capabilities

Available Tools

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, and best practices.

get_all_coding_preferences

Retrieve all stored coding preferences to analyze patterns, review implementations, and ensure no relevant information is missed.

search_coding_preferences

Semantically search through stored coding preferences to find relevant code implementations, programming solutions, best practices, setup guides, and technical documentation.

Mem0 Coding Preferences is a specialized MCP server that integrates with mem0.ai to create a persistent system for managing coding preferences. It allows developers to store code snippets, implementation details, and coding patterns with comprehensive context, making it easier to maintain consistent coding practices across projects. The server provides powerful semantic search capabilities to find relevant code implementations, programming solutions, best practices, setup guides, and technical documentation. This implementation follows a cloud-native approach where the server and clients can operate as decoupled processes, making it ideal for team environments where coding standards need to be maintained.

Installation

Prerequisites

Python environment
mem0.ai API key

Setup Instructions

Clone the repository:

git clone https://github.com/mem0ai/mem0-mcp.git
cd mem0-mcp

Initialize and activate the virtual environment using uv:

uv venv
source .venv/bin/activate

Install dependencies:

uv pip install -e .

Create or update the .env file in the root directory with your mem0 API key:

MEM0_API_KEY=your_api_key_here

Running the Server

Start the MCP server with:

uv run main.py

You can customize the host and port if needed:

uv run main.py --host <your_host> --port <your_port>

By default, the server runs on 0.0.0.0:8080.

Connecting with Cursor

In Cursor, connect to the SSE endpoint at http://0.0.0.0:8080/sse
Open the Composer in Cursor and switch to Agent mode
You can now use the available tools to manage your coding preferences

Usage Examples

Storing a Coding Preference

You can store a new coding preference with detailed context:

I want to save my React component pattern for data fetching with error handling

Retrieving All Preferences

To get an overview of all stored preferences:

Show me all my coding preferences

Searching for Specific Implementations

Find relevant code patterns with semantic search:

Find my preferred way to implement authentication in Express.js

Benefits

Consistency: Maintain consistent coding patterns across projects
Knowledge Retention: Preserve implementation details with full context
Efficiency: Quickly retrieve best practices without recreating solutions
Team Collaboration: Share standardized approaches within development teams

The server is designed to run as a persistent process that agents can connect to, use, and disconnect from as needed, making it flexible for various development workflows.