r-huijts/firstcycling-mcp
by Various
This is a Model Context Protocol (MCP) server that provides professional cycling data from FirstCycling. It allows you to retrieve information about professional cyclists, race res
MCP
r-huijts/firstcycling-mcp
Added 1 June 2026
Overview
This is a Model Context Protocol (MCP) server that exposes professional cycling data from FirstCycling. It retrieves information about professional cyclists, race results, and more. Built in Python, it integrates with the Model Context Protocol for use in AI assistants or data pipelines.
Best for
Best for
Developers building cycling-related data applications or AI tools
Use cases
- Building a cycling race results query tool for an AI assistant
- Creating a chatbot that answers questions about professional cyclists
- Feeding race data into a sports analytics pipeline
How to use
Install
uv pip install -e . Tools exposed
get_rider_infoget_rider_best_resultsget_rider_grand_tour_resultsget_rider_monument_resultsget_rider_team_and_rankingget_rider_race_historyget_rider_one_day_racesget_rider_stage_racesget_rider_teamsget_rider_victoriesget_race_resultsget_race_overviewget_race_stage_profilesget_race_startlistget_race_victory_tableget_race_year_by_yearget_race_youngest_oldest_winnersget_race_stage_victoriessearch_ridersearch_race
Example client config
{\n "mcpServers": {\n "firstcycling": {\n "command": "uv",\n "args": ["--directory", "/path/to/server/directory", "run", "firstcycling.py"]\n }\n }\n } Notes
This is a Model Context Protocol (MCP) server that exposes professional cycling data from FirstCycling. It retrieves information about professional cyclists, race results, and more. Built in Python, it integrates with the Model Context Protocol for use in AI assistants or data pipelines.
18 stars on GitHub. Last updated 2025-08-26. Licensed MIT.
Use cases
- Building a cycling race results query tool for an AI assistant
- Creating a chatbot that answers questions about professional cyclists
- Feeding race data into a sports analytics pipeline
Pros
- Provides structured access to FirstCycling data via MCP
- Simple Python implementation for easy integration
- Open source with permissive use
Cons
- Small community with only 18 stars and limited activity
- Depends on FirstCycling’s website, which may change without notice
- Limited to professional cycling data only
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides structured access to FirstCycling data via MCP
- Simple Python implementation for easy integration
- Open source with permissive use
Cons
- Small community with only 18 stars and limited activity
- Depends on FirstCycling's website, which may change without notice
- Limited to professional cycling data only
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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