What is 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. The server can be used with Cursor and provides essential tools for storing, retrieving, and searching coding preferences.
Documentation
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. The server can be used with Cursor and provides essential tools for storing, retrieving, and searching coding preferences.
Installation
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Initialize the uv environment:
uv venv
Activate the virtual environment:
source .venv/bin/activate
Install the dependencies using uv:
uv pip install -e .
Update .env file in the root directory with your mem0 API key:
MEM0_API_KEY=your_api_key_here
Usage
Start the MCP server:
uv run main.py
In Cursor, connect to the SSE endpoint, follow this doc for reference:
http://0.0.0.0:8080/sse
Open the Composer in Cursor and switch to Agent mode.
The server provides three main tools for managing code preferences:
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
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
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 <your host> --port <your port>
The server exposes an SSE endpoint at /sse that MCP clients can connect to for accessing the coding preferences management tools.