Skip to main content
Glama
Surya96t

fastf1-mcp-server

fastf1-mcp

CI

An MCP server that exposes Formula 1 data to AI assistants via the FastF1 library. Ask Claude (or any MCP-compatible client) questions about race results, lap times, telemetry, standings, and more.


Features

  • 21 tools covering standings, race results, lap times, telemetry, pit stops, and qualifying

  • 4 MCP resources for schedule, driver, constructor, and circuit reference data

  • 5 guided prompts for race recaps, qualifying analysis, strategy deep-dives, and weekend previews

  • Async-safe LRU session cache — repeat queries are instant after the first load

  • Distance-based telemetry sampling — large raw datasets compressed to ≤ 500 points

  • All errors returned as structured dicts — the server never crashes on bad input


Requirements

  • Python 3.12+

  • uv (recommended) or pip


Installation

git clone https://github.com/yourname/fastf1-mcp
cd fastf1-mcp
uv sync

With pip

pip install fastf1-mcp-server

Running the server

# via uv (development)
uv run fastf1-mcp-server

# or directly
python -m fastf1_mcp

MCP Inspector (development / debugging)

# Option A — official npx inspector
npx @modelcontextprotocol/inspector uv --directory . run fastf1-mcp-server

# Option B — fastmcp wrapper
uv run fastmcp dev inspector -m fastf1_mcp.server --with-editable .

Both open the inspector at http://localhost:6274.


Claude Desktop configuration

Add the following to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "fastf1": {
      "command": "uv",
      "args": ["run", "fastf1-mcp-server"],
      "cwd": "/absolute/path/to/fastf1-mcp",
      "env": {
        "FASTF1_MCP_LOG_LEVEL": "INFO",
        "FASTF1_MCP_MAX_CACHED_SESSIONS": "10"
      }
    }
  }
}

Restart Claude Desktop after saving. The server name fastf1 will appear in the tools panel.


Configuration

All settings are read from environment variables with the FASTF1_MCP_ prefix.

Variable

Default

Description

FASTF1_MCP_FASTF1_CACHE_PATH

~/.fastf1_cache

Disk cache for FastF1 session files

FASTF1_MCP_MAX_CACHED_SESSIONS

10

Max sessions held in memory (LRU)

FASTF1_MCP_DEFAULT_TELEMETRY_SAMPLES

200

Default telemetry sample points

FASTF1_MCP_MAX_TELEMETRY_SAMPLES

500

Hard cap on telemetry sample points

FASTF1_MCP_LOG_LEVEL

INFO

Python logging level


Tools

Quick Lookup (Ergast API — 1950-present)

Tool

Description

get_schedule

Get the F1 race calendar for a season.

get_driver_standings

Get driver championship standings.

get_constructor_standings

Get constructor championship standings.

get_driver_info

Get driver information.

get_race_results_historical

Get historical race results (pre-2018 or when session data unavailable).

get_circuit_info

Get circuit information.

Session Data (FastF1 Live Timing — 2018-present)

Tool

Description

get_session_results

Get session classification/results.

get_lap_times

Get all lap times for a driver in a session.

get_fastest_laps

Get fastest laps in a session, one per driver.

get_race_pace

Calculate average race pace for all drivers.

get_stint_analysis

Analyze tire stints for a race.

get_pit_stops

Get all pit stops from a race.

get_qualifying_breakdown

Get qualifying results split by Q1/Q2/Q3.

Telemetry (FastF1 Live Timing — 2018-present)

Tool

Description

get_lap_telemetry

Get telemetry data for a specific lap.

compare_telemetry

Compare telemetry between two drivers on the same session.

get_speed_trap_data

Get speed trap and top-speed data for all drivers in a session.

get_sector_times

Get best sector times and theoretical best lap for each driver.

Utility

Tool

Description

list_events

List all events in a season.

list_drivers

List all drivers in a season, optionally filtered to a specific event.

get_cache_status

Check server in-memory session cache status.

clear_cache

Clear cached sessions from in-memory storage.


Resources

URI

Description

f1://schedule/{year}

Full race calendar for a season

f1://drivers/{year}

All drivers who competed in a season

f1://constructors/{year}

All constructors in a season

f1://circuits

All F1 circuits (all-time)


Prompts

Prompt

Args

What it does

race_recap

year, event

Calls results + fastest laps + pit stops + stints, then narrates the race

qualifying_analysis

year, event

Q breakdown + sector times + top laps analysis

driver_comparison

year, driver1, driver2

Season-level head-to-head: standings, races, qualifying

strategy_analysis

year, event

Stints + pit timing + race pace — explains who won the strategy battle

weekend_preview

year, event

Circuit details + recent history + championship context


Example queries (Claude Desktop)

Who won the 2024 Monaco Grand Prix and what was the strategy?
→ use race_recap prompt or call get_session_results + get_stint_analysis

Compare Verstappen and Leclerc's telemetry in 2024 Monaco qualifying
→ compare_telemetry(2024, "Monaco", "Q", "VER", "LEC")

Who had the fastest theoretical lap in 2024 Silverstone qualifying?
→ get_sector_times(2024, "Silverstone", "Q")

Show me the 2024 constructor standings after round 10
→ get_constructor_standings(2024, after_round=10)

Development

# Install dev dependencies
uv sync --dev

# Run tests
uv run pytest

# Run tests with coverage
uv run pytest --cov=fastf1_mcp

# Lint
uv run ruff check src/

Data sources & coverage

Source

Coverage

Used for

Ergast API (via FastF1)

1950 – present

Standings, schedules, historical results, circuit info

FastF1 Live Timing

2018 – present

Lap times, telemetry, qualifying, pit stops, tire data

Note: FastF1 session data is only available from 2018 onwards. Use get_race_results_historical for earlier seasons.


License

MIT

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Surya96t/fastf1-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server