A Model Context Protocol (MCP) server for interacting with F1Data through LLM interfaces like Claude. **You will need to have Claude installed on
MCP F1data MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server for interacting with F1Data through LLM interfaces like Claude. You will need to have Claude installed on your system to continue..
Once MCP F1data is connected, these are the calls the assistant has available:
circuit — constructordriver — grand prixmanufacturer — raceData — The original data has been: - Imported and structured into a PostgreSQL database - Exposed through a custom MCP - Optimized for efficient queryingmcp-f1data on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
The requirementes used to build this MCP server are: - fastf1 - pandas - fastmcp - websockets - mcp - pydantic - fastapi
Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP F1data's toolset — circuit, driver, manufacturer and 1 more — is a fair guide to whether it matches your workflow. It is maintained by Maxbleu; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| circuit | constructor |
| driver | grand prix |
| manufacturer | race |
| Data | The original data has been: - Imported and structured into a PostgreSQL database - Exposed through a custom MCP - Optimized for efficient querying |
{
"mcpServers": {
"f1data": {
"command": "uvx",
"args": ["mcp-f1data"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
The requirementes used to build this MCP server are: - fastf1 - pandas - fastmcp - websockets - mcp - pydantic - fastapi
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
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Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.