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MCP Local RAG

nkapila6/mcp-local-rag

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

View on GitHub28

Install

uvx --python=3.10 --from git+https://github.com/nkapila6/mcp-local-rag mcp-local-rag

Client configuration

{
  "mcpServers": {
    "mcp-local-rag": {
      "command": "uvx",
      "args": [
        "--python=3.10",
        "--from",
        "git+https://github.com/nkapila6/mcp-local-rag",
        "mcp-local-rag"
      ]
    }
  }
}
GitHub stars
28
Author
@nkapila6
Category
AI Chatbot, Search Tools
License
MIT
Updated
Oct 6, 2026

About MCP Local RAG

A RAG-based web search and deep research model context protocol (MCP) server that runs entirely locally. Features multi-engine research across 9+ search backends with semantic similarity ranking, and requires no API keys.

Features

  • 9+ Search Backends: DuckDuckGo, Google, Bing, Brave, Wikipedia, Yahoo, Yandex, Mojeek, Grokipedia

  • Multi-Topic Research: Search multiple related queries simultaneously

  • Semantic Ranking: RAG-like similarity scoring ranks the most relevant results

  • Privacy Options: Choose privacy-focused engines (DuckDuckGo, Brave) or comprehensive ones (Google)

  • No API Keys Required: All processing runs locally with embedded models

Tools (4)

  • deep_research

    Comprehensive multi-engine research

  • deep_research_google

    Google-focused deep dive

  • deep_research_ddgs

    Privacy-first deep research

  • rag_search_ddgs

    rag_search_google - Quick single searches

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

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