mcp-f1

F1 MCP — Formula 1 data via the Ergast API

Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.

Tools

| Tool | Description | |------|-------------| | get_current_standings | Check current F1 driver championship standings. Returns position, points, wins, driver name, and constructor for all drivers. | | get_race_results | Get race results for a specific F1 grand prix. Provide season year and round number (e.g., 2024, round 5). Returns finishing position, driver, constructor, status, and points. | | get_schedule | Get the F1 season race calendar. Provide year (e.g., 2024). Returns all rounds with race name, circuit, location, and date. | | get_driver | Look up F1 driver profile by ID. Returns name, car number, nationality, and date of birth. |

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "f1": {
      "url": "https://gateway.pipeworx.io/f1/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/f1/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1683+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/get_current_standings \
  -H 'Content-Type: application/json' \
  -d '{}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/get_current_standings. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "f1": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-f1"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-f1

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about F1 data" })

The gateway picks the right tool and fills the arguments automatically.

More

• Docs and guides
• pipeworx.io

License

MIT