RAG_MCP

A RAG-ready MCP server for semantic PDF search with OCR, FAISS, and transformers—plug into any MCP client and retrieve intelligent answers within your MCP client.

Step 1: Create virtual env and install requirements

curl -LsSf https://astral.sh/uv/install.sh | sh
uv init rag_mcp
cd rag_mcp
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
brew install tesseract

Step 2a: Add config to the Claude MCP client

code ~/Library/Application\ Support/Claude/claude_desktop_config.json
...
{
    "mcpServers": {
        "rag": {
            "command": "/Users/XXX/.local/bin/uv",
            "args": [
                "--directory",
                "/Users/XXX/Documents/RAG_MCP",
                "run",
                "rag.py"
            ]
        }
    }
}

Step 2b: Add config to the Cursor MCP client

code ~/.cursor/mcp.json
...
{
    "mcpServers": {
        "rag": {
            "command": "/Users/XXX/Documents/RAG_MCP/start.sh",
            "args": []
        }
    }
}

Step 5: Make MCP server executable

chmod +x start.sh
chmod +x rag.py

Step 6: Run MCP server (Claude Desktop)

uv run rag.py

Step 7: Run MCP client and query

Parse the pdfs and tell me about 18 Church St. and what significance it has.

License

Apache License, Version 2.0

This server cannot be installed

security - not tested

license - not tested

quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

A Retrieval-Augmented Generation server that enables semantic PDF search with OCR capabilities, allowing users to query document content through any MCP client and receive intelligent answers.

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RAG_MCP

RAG_MCP

Step 1: Create virtual env and install requirements

Step 2a: Add config to the Claude MCP client

Step 2b: Add config to the Cursor MCP client

Step 5: Make MCP server executable

Step 6: Run MCP server (Claude Desktop)

Step 7: Run MCP client and query

License

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