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FirstCycling MCP Server

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:
    uv venv
    source .venv/bin/activate  # On macOS/Linux
    # or
    .venv\Scripts\activate  # On Windows
    
  3. Install dependencies:
    uv pip install -e .
    

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
get_rider_grand_tour_results Get a rider's results in Grand Tours (Tour de France, Giro d'Italia, Vuelta a España)
get_rider_monument_results Retrieve a rider's results in cycling's Monument classics
get_rider_team_and_ranking Get a rider's team history and UCI ranking evolution over time
get_rider_race_history Retrieve a rider's complete race participation history, optionally filtered by year
get_rider_one_day_races Get a rider's results in one-day races, optionally filtered by year
get_rider_stage_races Get a rider's results in multi-day stage races, optionally filtered by year
get_rider_teams Retrieve the complete team history of a rider throughout their career
get_rider_victories Get a list of a rider's career victories, with optional filters for WorldTour or UCI races

Race Information

Tool Description
get_race_results Retrieve results for a specific race edition by race ID and year
get_race_overview Get general information about a race including history, records, and past winners
get_race_stage_profiles Retrieve stage profiles and details for multi-stage races
get_race_startlist Get the startlist for a specific race edition with detailed or basic team information
get_race_victory_table Retrieve the all-time victory table for a race showing riders with most wins
get_race_year_by_year Get year-by-year results for a race with optional classification filter
get_race_youngest_oldest_winners Retrieve information about the youngest and oldest winners of a race
get_race_stage_victories Get information about stage victories in multi-stage races

Search Tools

Tool Description
search_rider Search for riders by name, returning their IDs and basic information
search_race Search for races by name, returning their IDs and basic information

Usage

Development Mode

You can test the server with MCP Inspector by running:

uv run mcp dev firstcycling.py

This will start the server and open the MCP Inspector in your browser, allowing you to test the available tools.

Integration with Claude for Desktop

To integrate this server with Claude for Desktop:

  1. 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
  2. Add the server to your configuration:

    {
      "mcpServers": {
        "firstcycling": {
          "command": "uv",
          "args": ["--directory", "/path/to/server/directory", "run", "firstcycling.py"]
        }
      }
    }
    
  3. Restart Claude for Desktop

License

MIT

Metadata

Release files for iflow-mcp_firstcycling 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for iflow-mcp_firstcycling 0.1.0
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iflow_mcp_firstcycling-0.1.0.tar.gz 23.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for iflow-mcp_firstcycling 0.1.0
File Interpreter ABI Platform
iflow_mcp_firstcycling-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 55.1 kB

Release files / iflow_mcp_firstcycling-0.1.0.tar.gz

Download URL iflow_mcp_firstcycling-0.1.0.tar.gz
Size 23.9 kB
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Release files / iflow_mcp_firstcycling-0.1.0-py3-none-any.whl

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