Minima (Local RAG)
Search and retrieve context from local files for RAG.
This MCP server, developed by dmayboroda, enables AI assistants like Claude to perform RAG (Retrieval-Augmented Generation) on local files. Built in Python and leveraging the uv package manager, it integrates seamlessly with MCP clients through a simple configuration file. The server allows the client to search and retrieve context from the user's local documents, enhancing its ability to provide relevant and personalized responses. By granting access to private or offline information sources, this implementation extends the client's knowledge base beyond its training data, making it particularly useful for tasks involving confidential documents, personal notes, or frequently updated local resources.
Source
Repository: https://github.com/dmayboroda/minima/tree/HEAD/mcp-server
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