AI Infrastructure · PyPI

mcp-rag-librarian

MCP server for RAG (Retrieval-Augmented Generation) operations with local document indexing - Fork with enhancements

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Details

Author
Tommaso Maria Ungetti
GitHub profile
@tungetti
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/tungetti/rag-mcp-server
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@tungetti

Overview

MCP server for RAG (Retrieval-Augmented Generation) operations with local document indexing - Fork with enhancements

Quick start

pip

pip install mcp-rag-librarian

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What mcp-rag-librarian can do

llmragembeddingairetrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is mcp-rag-librarian?
MCP server for RAG (Retrieval-Augmented Generation) operations with local document indexing - Fork with enhancements
How do I install mcp-rag-librarian?
Use pip: `pip install mcp-rag-librarian`. Full setup details on the source page linked above.
Is mcp-rag-librarian open source?
mcp-rag-librarian is published on PyPI.
What are alternatives to mcp-rag-librarian?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for mcp-rag-librarian is sourced from PyPI, published by Tommaso Maria Ungetti.

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