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Ragdocs

STDIO

MCP server enabling semantic search and retrieval of documentation using vector database and natural language queries

MCP-Ragdocs

A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.

Quick Install Guide

  1. Install the package globally:

    npm install -g @qpd-v/mcp-server-ragdocs

  2. Start Qdrant (using Docker):

    docker run -p 6333:6333 -p 6334:6334 qdrant/qdrant

  3. Ensure Ollama is running with the default embedding model:

    ollama pull nomic-embed-text

  4. Add to your configuration file:

    • For Cline: %AppData%\Roaming\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
    • For Roo-Code: %AppData%\Roaming\Code\User\globalStorage\rooveterinaryinc.roo-cline\settings\cline_mcp_settings.json
    • For Claude Desktop: %AppData%\Claude\claude_desktop_config.json
    {
  "mcpServers": {
    "ragdocs": {
      "command": "node",
      "args": ["C:/Users/YOUR_USERNAME/AppData/Roaming/npm/node_modules/@qpd-v/mcp-server-ragdocs/build/index.js"],
      "env": {
        "QDRANT_URL": "http://127.0.0.1:6333",
        "EMBEDDING_PROVIDER": "ollama",
        "OLLAMA_URL": "http://localhost:11434"
      }
    }
  }
}

  5. Verify installation:

    # Check Qdrant is running
curl http://localhost:6333/collections

# Check Ollama has the model
ollama list | grep nomic-embed-text

Version

Current version: 0.1.6

Features

  • Add documentation from URLs or local files
  • Store documentation in a vector database for semantic search
  • Search through documentation using natural language
  • List all documentation sources

Installation

Install globally using npm:

npm install -g @qpd-v/mcp-server-ragdocs

This will install the server in your global npm directory, which you'll need for the configuration steps below.

Requirements

  • Node.js 16 or higher
  • Qdrant (either local or cloud)
  • One of the following for embeddings:
    • Ollama running locally (default, free)
    • OpenAI API key (optional, paid)

Qdrant Setup Options

Option 1: Local Qdrant

  1. Using Docker (recommended):
docker run -p 6333:6333 -p 6334:6334 qdrant/qdrant
  1. Or download from Qdrant's website

Option 2: Qdrant Cloud

  1. Create an account at Qdrant Cloud
  2. Create a new cluster
  3. Get your cluster URL and API key from the dashboard
  4. Use these in your configuration (see Configuration section below)

Configuration

The server can be used with both Cline/Roo and Claude Desktop. Configuration differs slightly between them:

Cline Configuration

Add to your Cline settings file (%AppData%\Roaming\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json) AND/OR Add to your Roo-Code settings file (%AppData%\Roaming\Code\User\globalStorage\rooveterinaryinc.roo-cline\settings\cline_mcp_settings.json):

  1. Using npm global install (recommended):
{
		"mcpServers": {
				"ragdocs": {
						"command": "node",
      "args": ["C:/Users/YOUR_USERNAME/AppData/Roaming/npm/node_modules/@qpd-v/mcp-server-ragdocs/build/index.js"],
      "env": {
        "QDRANT_URL": "http://127.0.0.1:6333",
        "EMBEDDING_PROVIDER": "ollama",
        "OLLAMA_URL": "http://localhost:11434"
      }
    }
  }
}

For OpenAI instead of Ollama:

{
		"mcpServers": {
				"ragdocs": {
						"command": "node",
      "args": ["C:/Users/YOUR_USERNAME/AppData/Roaming/npm/node_modules/@qpd-v/mcp-server-ragdocs/build/index.js"],
      "env": {
        "QDRANT_URL": "http://127.0.0.1:6333",
        "EMBEDDING_PROVIDER": "openai",
        "OPENAI_API_KEY": "your-openai-api-key"
      }
    }
  }
}
  1. Using local development setup:
{
		"mcpServers": {
				"ragdocs": {
						"command": "node",
						"args": ["PATH_TO_PROJECT/mcp-ragdocs/build/index.js"],
						"env": {
								"QDRANT_URL": "http://127.0.0.1:6333",
								"EMBEDDING_PROVIDER": "ollama",
								"OLLAMA_URL": "http://localhost:11434"
						}
				}
		}
}

Claude Desktop Configuration

Add to your Claude Desktop config file:

  • Windows: %AppData%\Claude\claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  1. Windows Setup with Ollama (using full paths):
{
  "mcpServers": {
    "ragdocs": {
      "command": "C:\\Program Files\\nodejs\\node.exe",
      "args": [
        "C:\\Users\\YOUR_USERNAME\\AppData\\Roaming\\npm\\node_modules\\@qpd-v/mcp-server-ragdocs\\build\\index.js"
      ],
      "env": {
								"QDRANT_URL": "http://127.0.0.1:6333",
								"EMBEDDING_PROVIDER": "ollama",
								"OLLAMA_URL": "http://localhost:11434"
						}
				}
		}
}

Windows Setup with OpenAI:

{
		"mcpServers": {
				"ragdocs": {
						"command": "C:\\Program Files\\nodejs\\node.exe",
						"args": [
								"C:\\Users\\YOUR_USERNAME\\AppData\\Roaming\\npm\\node_modules\\@qpd-v/mcp-server-ragdocs\\build\\index.js"
						],
						"env": {
								"QDRANT_URL": "http://127.0.0.1:6333",
								"EMBEDDING_PROVIDER": "openai",
								"OPENAI_API_KEY": "your-openai-api-key"
						}
				}
		}
}
  1. macOS Setup with Ollama:
{
		"mcpServers": {
				"ragdocs": {
						"command": "/usr/local/bin/node",
						"args": [
								"/usr/local/lib/node_modules/@qpd-v/mcp-server-ragdocs/build/index.js"
						],
						"env": {
								"QDRANT_URL": "http://127.0.0.1:6333",
								"EMBEDDING_PROVIDER": "ollama",
								"OLLAMA_URL": "http://localhost:11434"
						}
				}
		}
}

Qdrant Cloud Configuration

For either Cline or Claude Desktop, when using Qdrant Cloud, modify the env section:

With Ollama:

{
		"env": {
				"QDRANT_URL": "https://your-cluster-url.qdrant.tech",
				"QDRANT_API_KEY": "your-qdrant-api-key",
				"EMBEDDING_PROVIDER": "ollama",
				"OLLAMA_URL": "http://localhost:11434"
		}
}

With OpenAI:

{
		"env": {
				"QDRANT_URL": "https://your-cluster-url.qdrant.tech",
				"QDRANT_API_KEY": "your-qdrant-api-key",
				"EMBEDDING_PROVIDER": "openai",
				"OPENAI_API_KEY": "your-openai-api-key"
		}
}

Environment Variables

Qdrant Configuration

Embeddings Configuration

  • EMBEDDING_PROVIDER (optional): Choose between 'ollama' (default) or 'openai'
  • EMBEDDING_MODEL (optional):
    • For Ollama: defaults to 'nomic-embed-text'
    • For OpenAI: defaults to 'text-embedding-3-small'
  • OLLAMA_URL (optional): URL of your Ollama instance (defaults to http://localhost:11434)
  • OPENAI_API_KEY (required if using OpenAI): Your OpenAI API key

Available Tools

  1. add_documentation

    • Add documentation from a URL to the RAG database
    • Parameters:
      • url: URL of the documentation to fetch

  2. search_documentation

    • Search through stored documentation
    • Parameters:
      • query: Search query
      • limit (optional): Maximum number of results to return (default: 5)

  3. list_sources

    • List all documentation sources currently stored
    • No parameters required

Example Usage

In Claude Desktop or any other MCP-compatible client:

  1. Add documentation:
Add this documentation: https://docs.example.com/api
  1. Search documentation:
Search the documentation for information about authentication
  1. List sources:
What documentation sources are available?

Development

  1. Clone the repository:
git clone https://github.com/qpd-v/mcp-server-ragdocs.git
cd mcp-server-ragdocs
  1. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. Run locally:
npm start

License

MIT

Troubleshooting

Common Issues

  1. Qdrant Connection Error

    Error: Failed to connect to Qdrant at http://localhost:6333
    • Check if Docker is running
    • Verify Qdrant container is running: docker ps | grep qdrant
    • Try restarting the container

  2. Ollama Model Missing

    Error: Model nomic-embed-text not found
    • Run: ollama pull nomic-embed-text
    • Verify model is installed: ollama list

  3. Configuration Path Issues

    • Windows: Replace YOUR_USERNAME with your actual Windows username
    • Check file permissions
    • Verify the paths exist

  4. npm Global Install Issues

    • Try installing with admin privileges
    • Check npm is in PATH: npm -v
    • Verify global installation: npm list -g @qpd-v/mcp-server-ragdocs

For other issues, please check:

  • Docker logs: docker logs $(docker ps -q --filter ancestor=qdrant/qdrant)
  • Ollama status: ollama list
  • Node.js version: node -v (should be 16 or higher)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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