mcp-local-rag and repo-graphrag-mcp

Both are independent MCP servers offering distinct approaches to local retrieval-augmented generation, with `yumeiriowl/repo-graphrag-mcp` specifically focusing on code repository knowledge graphs using LightRAG and Tree-sitter, while `nkapila6/mcp-local-rag` offers a more general "primitive" RAG-like web search.

mcp-local-rag
53
Established
repo-graphrag-mcp
42
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 17/25
Maintenance 10/25
Adoption 3/25
Maturity 15/25
Community 14/25
Stars: 118
Forks: 19
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 3
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About mcp-local-rag

nkapila6/mcp-local-rag

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

This tool helps large language models (LLMs) like Claude perform deep, up-to-date web research and answer questions using current information. It takes your natural language questions, searches across many web sources, extracts the most relevant details, and feeds them back to the LLM. Researchers, analysts, or anyone needing accurate, real-time information from an AI assistant would find this useful.

AI-assistant-research information-retrieval deep-research web-search knowledge-discovery

About repo-graphrag-mcp

yumeiriowl/repo-graphrag-mcp

An MCP server that uses LightRAG and Tree-sitter to build a repository knowledge graph from code and docs, for Q&A and implementation planning.

Related comparisons

mcp-local-rag and knowledge-to-action-mcp mcp-local-rag and mcp-rag-server mcp-local-rag and mcp-rag-server mcp-local-rag and mcp-ragchat mcp-local-rag and Real-time-web-search-RAG-with-MCP mcp-local-rag and supernova-mcp-rag

Scores updated daily from GitHub, PyPI, and npm data. How scores work