Manages coding preferences via a Model Context Protocol server, enabling efficient storage, retrieval, and search functionality.
This tool provides a structured approach for managing coding preferences using a Model Context Protocol (MCP) server integrated with mem0.ai. The server allows users to store code snippets, implementation details, and coding patterns with comprehensive context, enabling efficient retrieval and semantic searching of coding preferences. It is designed to be used with tools like Cursor and supports features like adding coding preferences with detailed context, retrieving all stored preferences for analysis, and searching for relevant code implementations and best practices.