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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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  1. Servers
  2. /end to end RAG platforms
  3. /andyliszewski/grounding-ai
end to end RAG platformsCommunityPython
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andyliszewski/grounding-ai

Build a searchable index from PDFs, EPUBs, and Word docs. Claude queries it via MCP and pulls grounded answers with exact page-and-section citations. Local-first, no cloud dependency.

0 starsUpdated Aug 30, 2026
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Overview

Grounding converts PDF, EPUB, DOCX, and Markdown documents into a structured, searchable corpus with per-agent embedding indexes. Drop documents into staging, get chunked Markdown with provenance hashing, FAISS vector indexes, and agent-filtered search -- all running locally, no cloud APIs required.

Installation

pip install grounding-ai

Configuration

{
  "mcpServers": {
    "grounding-ai": {
      "command": "uvx",
      "args": [
        "grounding-ai"
      ]
    }
  }
}
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Paste into ~/.cursor/mcp.json or .cursor/mcp.json

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