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FirstCycling MCP Server: Pro Insights & AI-Driven Race Analytics - MCP Implementation

FirstCycling MCP Server: Pro Insights & AI-Driven Race Analytics

Unlock pro cyclist secrets, race results, and gran fondos of data with FirstCycling MCP Server – because even AI needs to pedal faster to keep up with the peloton. 🚴♂️

Research And Data
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Ranked in the top 8% of all AI tools in its category

About FirstCycling MCP Server

What is FirstCycling MCP Server: Pro Insights & AI-Driven Race Analytics?

FirstCycling MCP Server is a cutting-edge tool designed to empower cycling enthusiasts, analysts, and professionals with instant access to granular race data and athlete performance analytics. Built on the MCP protocol and integrated with the FirstCycling API, it delivers real-time insights into Grand Tours, Monuments, and rider careers. Whether you need to dissect race strategies or track career trajectories, this server acts as your all-in-one data hub for pro cycling intelligence.

How to use FirstCycling MCP Server: Pro Insights & AI-Driven Race Analytics?

  1. Install dependencies via uv and clone the server repository
  2. Configure server settings in your .env file with API credentials
  3. Launch the server using uv run firstcycling.py
  4. Integrate with CLaude by configuring the MCP server endpoint
  5. Query data directly using natural language requests like "Show me Froome's Tour de France stage wins"

FirstCycling MCP Server Features

Key Features of FirstCycling MCP Server: Pro Insights & AI-Driven Race Analytics?

Granular Race Data Access

Query stage-by-stage Tour de France results, Monument classics statistics, and rider KOM rankings

Performance Heatmaps

Visualize rider form trajectories using AI-driven performance scoring across seasons

Historical Context Engine

Automatically surface comparable historical performances for current race scenarios

Team Dynamics Analysis

Analyze team strategies through aggregated rider contributions and tactical patterns

Use Cases of FirstCycling MCP Server: Pro Insights & AI-Driven Race Analytics?

Performance Benchmarking

Compare Pogačar's 2023 Giro stages with Contador's 2011 Tour climbs

Race Strategy Modeling

Simulate breakaway success probabilities using historical break data and current peloton composition

Injury Impact Analysis

Track recovery patterns of riders with similar injuries using 15+ years of medical data

Equipment Trends

Identify dominant bike models and gear setups across WorldTour teams

FirstCycling MCP Server FAQ

FAQ: FirstCycling MCP Server

How often is the data updated?

Live race data streams every 15 minutes during events, with historical data updated weekly

Can I query specific team tactics?

Yes - enter "Show Quick-Step's leadout strategy in 2023 Milan-San Remo" for granular analysis

Does it handle multi-language queries?

Full support for Spanish/French/Italian queries with automated context detection

What visualization options exist?

Generate interactive heatmaps, radar charts, and animated race routes through CLaude's canvas API

Content

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

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
  1. 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`
  1. Add the server to your configuration:

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

}
  1. Restart Claude for Desktop

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."

License

MIT

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