mcp-local-rag and mcp-rag-server

Both tools are complementary ecosystem siblings, as they are distinct server implementations for the Model Context Protocol (MCP) designed to enable local RAG-like web search, with "nkapila6/mcp-local-rag" focusing on a "primitive" implementation and "Daniel-Barta/mcp-rag-server" offering a more comprehensive lightweight RAG server for ingesting various document types.

mcp-local-rag
53
Established
mcp-rag-server
43
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 17/25
Maintenance 10/25
Adoption 4/25
Maturity 15/25
Community 14/25
Stars: 118
Forks: 19
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 5
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
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 mcp-rag-server

Daniel-Barta/mcp-rag-server

Lightweight RAG server for the Model Context Protocol: ingest source code, docs, build a vector index, and expose search/citations to LLMs via MCP tools.

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