lyonzin/knowledge-rag — Drop docs, search instantly from Claude Code — 12 MCP tools, 20 format parsers, hybrid search + rera…

Description and use

Lyonzin’s **knowledge‑RAG** is a fully local retrieval‑augmented generation toolkit that lets you drop any documents (supporting 20+ formats) and instantly query them with Claude Code using hybrid search and reranking—all without servers or API keys. It bundles 12 ready‑to‑use MCP tools for seamless integration, making it ideal for AI/ML, backend, and data‑driven applications that require fast, privacy‑preserving document search.

Problem

lyonzin/knowledge-rag helps connect AI assistants to real tools and data through a standard protocol.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

Drop docs, search instantly from Claude Code — 12 MCP tools, 20 format parsers, hybrid search + reranking. Zero servers, zero API keys, 100% local.

Source