r-huijts/firstcycling-mcp

This is a Model Context Protocol (MCP) server that provides professional cycling data from FirstCycling. It allows you to retrieve comprehensive information about professional cyclists, race results, race details, and historical cycling data.
Features
This MCP server offers rich access to professional cycling data, providing tools for:
- Finding information about professional cyclists
- Retrieving race results and details
- Exploring historical race data
- Analyzing rider performance and career progression
- Accessing information about cycling teams and competitions
Real-World Use Cases
With this MCP server, you can use Claude to:
Rider Analysis
- **Performance Tracking**: "How has Tadej Pogačar performed in the Tour de France over the years?"
- **Career Progression**: "Show me the team history and career progression of Wout van Aert."
- **Specialization Analysis**: "What are Mathieu van der Poel's results in Monument classics?"
- **Victory Analysis**: "List all WorldTour victories for Jonas Vingegaard."
- **Historical Comparison**: "Compare the Grand Tour results of Primož Roglič and Jonas Vingegaard."
Race Research
- **Recent Results**: "Show me the results of the 2023 Paris-Roubaix."
- **Historical Context**: "Who are the youngest and oldest winners of the Tour of Flanders?"
- **Team Analysis**: "Get the startlist for the 2023 Tour de France with detailed team information."
- **Race Statistics**: "Show me the victory table for Liège-Bastogne-Liège. Who has won it the most times?"
- **Stage Information**: "Can you show me the stage profiles for the 2023 Giro d'Italia?"
Sports Journalism
- "Create a detailed profile of Remco Evenepoel for a cycling magazine article."
- "Write a preview for the upcoming Tour de France based on the recent results of top contenders like Tadej Pogačar and Jonas Vingegaard."
- "Analyze the evolution of Tom Pidcock's career based on his race results and team history."
Cycling Education
- "Explain what makes the Monument classics special using data about their history and winners."
- "Create an educational summary about Grand Tours and their significance in professional cycling."
- "Describe the typical career progression of a professional cyclist using examples from the data."
Requirements
- Python 3.10 or higher
- uv package manager (recommended)
- Dependencies as listed in pyproject.toml, including:
- mcp
- beautifulsoup4
- lxml
- pandas
- slumber
- and other packages for web scraping and data processing
Setup
1. Clone this repository
2. Create and activate a virtual environment:
3. Install dependencies:
FirstCycling API
This server uses the FirstCycling API, which has been integrated directly into the project. The API provides methods to fetch data from the FirstCycling website through web scraping.
MCP Tools
The server exposes the following tools through the Model Context Protocol:
Rider Information
| Tool | Description |
|------|-------------|
| get_rider_info | Get basic biographical information about a rider including nationality, birthdate, weight, height, and current team |
| get_rider_best_results | Retrieve a rider's best career results, sorted by importance |