r huijts firstcycling mcp

WHAT IT CONNECTS

What r huijts firstcycling mcp gives an AI Agent

• 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
• **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."
• **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?"
• "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."
• "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."
• 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
• Clone this repository
• Create and activate a virtual environment:
• Install dependencies:
• Edit the Claude for Desktop config file, located at:
• macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
• Windows: `%APPDATA%\Claude\claude_desktop_config.json`
• Add the server to your configuration:
• Restart Claude for Desktop