Mem0
Integrates with mem0.ai to store, retrieve, and semantically search coding preferences, snippets, and programming knowledge throug
Mem0-MCP provides a structured approach for managing coding preferences through an MCP server that integrates with mem0.ai. Built with Python using the FastMCP framework, it offers three main tools: adding coding preferences with comprehensive context, retrieving all stored preferences, and semantically searching through preferences to find relevant code implementations, solutions, and documentation. The server runs as a persistent process that agents can connect to via SSE, making it ideal for cloud-native environments where server and clients operate as decoupled processes. This implementation is particularly valuable for developers using Cursor who need efficient storage and retrieval of code snippets and programming knowledge.
Source
Repository: https://github.com/mem0ai/mem0-mcp
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