Formula One Racing Data (FastF1)
This Formula One MCP server provides access to F1 racing data through the FastF1 Python library, enabling AI assistants to retrieve race calendars, event information, session results, driver statistics, lap times, telemetry data, and championship standings. The implementation bridges Node.js and Python, with TypeScript handling the MCP server interface while Python processes the data requests, making it valuable for motorsport enthusiasts, analysts, and journalists who need to access and analyze Formula 1 data without leaving their conversation interface.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/rakeshgangwar/f1-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Formula One Racing Data (FastF1) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.