This is a Model Context Protocol (MCP) server that provides professional cycling data from FirstCycling. It allows you to retrieve information about
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 results, and more. Exposed over MCP by the firstcycling mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Everything the assistant can do here goes through one of these:
search_rider — Search for riders by name, returning their IDs and basic informationsearch_race — Search for races by name, returning their IDs and basic informationuv package manager (recommended) - Dependencies as listed in pyproject.toml, including: - mcp - beautifulsoup4 - lxml - pandas - slumber - and other packages for web scraping and data processingSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
This sits in the team communication group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. FirstCycling's toolset — search_rider, search_race — is a fair guide to whether it matches your workflow. It is maintained by r-huijts; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| 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 |
uv package manager (recommended) - Dependencies as listed in pyproject.toml, including: - mcp - beautifulsoup4 - lxml - pandas - slumber - and other packages for web scraping and data processingYour assistant inside the workspace — read channels, search history, post messages and tame the noise.
Inbox intelligence — search, read, draft and send Gmail through your assistant with OAuth auto-setup.
Read and write Jira, Confluence, Bitbucket, JSM and Compass from your AI client — with your own permissions.
Read and send Telegram messages through your assistant — chats, channels and history via the client API.
Enables Discord bot integration with Model Context Protocol (MCP) compatible applications like Claude Desktop.
Exposes REST APIs defined by OpenAPI specifications as Model Context Protocol (MCP) tools, facilitating seamless integration into MCP-based workflows.