MCP for Qdrant Documentation

The idea is to create a PoC for curated documentation MCP server based on mcp-server-qdrant.

Motivation

Default mcp-server-qdrant is too general and expects you to put data into it. But one of the main use-cases for MCP is to provide LLMs with latest and most accurate documentation.

This project should serve as an example of how you can build ready-to-use MCP server for a specific package documentation.

This MCP server is read-only, model is only allowed retrieve data about the documentation.

Setup

This is a Python project using uv for package management.

1. Install uv if you haven't already:

   curl -LsSf https://astral.sh/uv/install.sh | sh

2. Create a virtual environment and install dependencies:

   uv venv
   source .venv/bin/activate  # On Unix/macOS
   # or
   .venv\Scripts\activate  # On Windows
   
   uv pip install -r requirements.txt

3. Install the package in development mode:

   uv pip install -e .

Development

• Use ruff for linting and formatting
• The project uses hatchling as the build backend

MCP Server Inspector

uv run mcp dev qdrant_docs_mcp/server.py

Run for serving

uv run qdrant_docs_mcp/main.py --transport=sse

Importing libraries

To import a single supported library, run

uv run -m qdrant_docs_mcp.tools.importer --library 'qdrant-client-python'

Alternatively, you can import all supported libraries with

uv run -m qdrant_docs_mcp.tools.importer --library 'all'