mcp-local-rag

MCP Local RAG provides a fully private, zero-setup Retrieval Augmented Generation (RAG) system for developers, enabling semantic search with keyword boosting on local documents. It integrates seamlessly with AI coding tools via MCP or offers direct command-line access, ensuring data privacy and offline functionality.

mcp-local-rag sits in the RAG / Knowledge Base category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Semantic search with keyword boost for exact technical terms. A representative use case is Searching internal technical specifications, research papers, or documentation privately. The listed license is MIT. GitHub stars are currently 416. Relevant tags include RAG, Semantic Search.