R

RAG Documentation Search

Provides semantic document search and retrieval through vector embeddings, enabling context-aware re...

143 views
0 installs
Updated Oct 16, 2025
Not audited
Provides semantic document search and retrieval through vector embeddings, enabling context-aware responses backed by specific documentation sources
  1. Determine Your Embeddings Provider

    • Choose whether you want to use OpenAI or Ollama for embeddings:
      • For OpenAI, you will need an OpenAI API key.
      • For Ollama, you need a running Ollama server (local or remote).
  2. Collect Required Environment Variable Values

    • All configurations require:

      • QDRANT_URL: The full URL of your Qdrant instance (e.g., http://localhost:6333 for local, or your Qdrant Cloud cluster URL for cloud use).
      • QDRANT_API_KEY: (Only required for Qdrant Cloud) Get this from your Qdrant Cloud console.
      • EMBEDDINGS_PROVIDER: Set to "openai" or "ollama" depending on your setup.
    • If using OpenAI:

    • If using Ollama:

      • OLLAMA_BASE_URL: (Optional, defaults to http://localhost:11434) The URL where Ollama is running.
  3. Obtain a Qdrant API Key (for Qdrant Cloud)

    • Go to the Qdrant Cloud Console
    • Log in or create an account.
    • Create or select a cluster.
    • Navigate to the API Keys section (often under "Settings" or "Access").
    • Generate a new API key.
    • Copy the API key (you’ll need it for QDRANT_API_KEY).
  4. Obtain an OpenAI API Key (if using OpenAI)

    • Visit OpenAI API Keys.
    • Log in.
    • Click Create new secret key.
    • Copy the key to use as OPENAI_API_KEY.
  5. Start Ollama Server (if using Ollama)

    • Install Ollama, if not already installed:
      curl -fsSL https://ollama.com/install.sh | sh
      
    • Start the Ollama server:
      ollama serve
      
    • By default, it will run at http://localhost:11434.
  6. Fill In the FastMCP Connection Interface

    • Go to your FastMCP connection interface.
    • Press the “Install Now” button for MCP-server-ragdocs.
    • In the environment/key input fields, enter the values you obtained for:
      • QDRANT_URL
      • QDRANT_API_KEY (if using Qdrant Cloud)
      • EMBEDDINGS_PROVIDER
      • OPENAI_API_KEY (if using OpenAI)
      • OLLAMA_BASE_URL (if using Ollama)
  7. Save and Apply the Configuration

    • Click “Save” or “Apply” in FastMCP to finalize the setup.

You’re now ready to use MCP-server-ragdocs!

Quick Start

View on GitHub

More for AI and Machine Learning

View All →

More for Developer Tools

View All →

Similar MCP Servers

A

Apple Developer Documentation (RAG)

Remote Remote

Provides semantic search and retrieval for Apple Developer Documentation using vector similarity search, keyword matching, and reranking to deliver relevant technical documentation and API references

Developer Tools

Report Issue

Thank you! Your issue report has been submitted successfully.