MCP server for RAG (Retrieval-Augmented Generation) operations with local document indexing - Fork with enhancements
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-rag-librarian","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# MCP RAG Librarian 📚🦸♀️ <div align="center"> <h1>MCP RAG Librarian</h1> <p> <a href="https://pypi.org/project/mcp-rag-librarian/"><img src="https://img.shields.io/pypi/v/mcp-rag-librarian" alt="PyPI"></a> <a href="LICENSE"><img src="https://img.shields.io/github/license/delexw/mcp-rag-librarian" alt="License"></a> </p> </div> Your superhero librarian for intelligent document retrieval! 🦸♀️📚 A Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) operations. RAG Librarian provides tools for building and querying vector-based knowledge bases from document collections, enabling semantic search and document retrieval capabilities with the power of a superhero librarian! ## Best Use Cases for MCP RAG 🚀 ### When to Choose MCP RAG Librarian **🔄 Dynamic & Always Fresh** - **On-Demand Initialization**: Quickly spin up and initialize with the latest documents whenever needed - **No Stale Data**: Always works with current documents since it initializes fresh each time - **Document Sync**: No need for background processes to monitor and update document changes **⚡ Perfect for Development** - **Local MCP Server**: Ideal for local development environments and coding agents - **Quick Integration**: Seamlessly integrates with MCP-compatible tools like Claude Code, Cursor, Cline - **Ephemeral by Design**: Start when needed, clean shutdown when done - no resource overhead **🛠️ Simplified Architecture** - **No Background Daemons**: Unlike long-run RAG servers that require separate update processes - **Process-Per-Task**: Each initialization gets fresh, consistent state - **Easy Debugging**: Clear startup/shutdown lifecycle makes troubleshooting straightforward **🎯 Use Cases** - **Coding Assistants**: Perfect for AI coding agents that need contextual document retrieval - **Development Workflows**: Ideal for dev environments where documents change frequently - **CI/CD Pipelines**: Excellent for GitHub Actions and CI pipelines pro…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.