openrag/sdks/mcp

OpenRAG MCP Server

An MCP (Model Context Protocol) server that exposes OpenRAG capabilities to AI assistants like Claude Desktop and Cursor.

Features

• Chat - RAG-enhanced conversations with your knowledge base
• Search - Semantic search over your documents
• Document Management - Ingest files/URLs and manage your knowledge base

Available Tools

Tool	Description
openrag_chat	Send a message and get a RAG-enhanced response
openrag_search	Semantic search over the knowledge base
openrag_ingest_file	Ingest a local file into the knowledge base
openrag_ingest_url	Ingest content from a URL
openrag_list_documents	List documents in the knowledge base
openrag_delete_document	Delete a document from the knowledge base

Prerequisites

1. A running OpenRAG instance
2. An OpenRAG API key (create one in Settings → API Keys)
3. Python 3.10+ with uv installed

Installation

Option 1: Run from Source (Recommended for Development)

# Clone the OpenRAG repository (if you haven't already)
git clone https://github.com/your-org/openrag.git
cd openrag/sdks/mcp

# Install dependencies
uv sync

Option 2: Install from GitHub

pip install "openrag-mcp @ git+https://github.com/your-org/openrag.git#subdirectory=sdks/mcp"

Configuration

The MCP server requires two environment variables:

Variable	Description	Default
OPENRAG_URL	URL of your OpenRAG instance	http://localhost:3000
OPENRAG_API_KEY	Your OpenRAG API key	(required)

Usage with Claude Desktop

Add this to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "openrag": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/openrag/sdks/mcp",
        "openrag-mcp"
      ],
      "env": {
        "OPENRAG_URL": "https://your-openrag-instance.com",
        "OPENRAG_API_KEY": "orag_your_api_key_here"
      }
    }
  }
}

Important: Replace /path/to/openrag with the actual path to your OpenRAG repository.

Usage with Cursor

Add this to your Cursor MCP configuration:

Location: ~/.cursor/mcp.json

{
  "mcpServers": {
    "openrag": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/openrag/sdks/mcp",
        "openrag-mcp"
      ],
      "env": {
        "OPENRAG_URL": "https://your-openrag-instance.com",
        "OPENRAG_API_KEY": "orag_your_api_key_here"
      }
    }
  }
}

Testing

You can test the MCP server locally:

cd /path/to/openrag/sdks/mcp

# Set environment variables
export OPENRAG_URL="http://localhost:3000"
export OPENRAG_API_KEY="orag_your_test_key"

# Run the server (it will wait for MCP protocol input)
uv run openrag-mcp

Example Prompts

Once configured, you can ask Claude or Cursor things like:

• "Search my knowledge base for information about machine learning"
• "What documents do I have in OpenRAG?"
• "Chat with OpenRAG about the quarterly report"
• "Ingest this PDF: /path/to/document.pdf"
• "Delete the file 'old_report.pdf' from my knowledge base"

Troubleshooting

"OPENRAG_API_KEY environment variable is required"

Make sure you've set the OPENRAG_API_KEY in the env section of your MCP configuration.

"Connection refused" errors

1. Check that your OpenRAG instance is running
2. Verify the OPENRAG_URL is correct
3. Ensure there are no firewall rules blocking the connection

Tools not appearing in Claude Desktop

1. Restart Claude Desktop after updating the configuration
2. Check the Claude Desktop logs for error messages
3. Verify the path to the openrag/sdks/mcp directory is correct

Architecture

┌─────────────────┐      stdio        ┌─────────────────┐       HTTPS        ┌─────────────────┐
│  Claude Desktop │◄─────────────────►│  openrag-mcp    │◄──────────────────►│    OpenRAG      │
│    or Cursor    │   JSON-RPC (MCP)  │  (subprocess)   │   X-API-Key auth   │   deployment    │
└─────────────────┘                   └─────────────────┘                    └─────────────────┘

License

Apache 2.0 - See LICENSE for details.