Metadata-Version: 2.4
Name: f1-mcp-server
Version: 0.1.0
Summary: A Model Context Protocol (MCP) server that provides Formula One racing data for AI applications, including event schedules, driver information, telemetry data, race results, and performance analysis.
Project-URL: Homepage, https://www.machinetomachine.ai/
Project-URL: Repository, https://github.com/Machine-To-Machine/f1-mcp-server.git
Project-URL: Issues, https://github.com/Machine-To-Machine/f1-mcp-server/issues
Project-URL: Documentation, https://github.com/Machine-To-Machine/f1-mcp-server/blob/main/README.md
Project-URL: Changelog, https://github.com/Machine-To-Machine/f1-mcp-server/blob/main/CHANGELOG.md
Project-URL: Source Code, https://github.com/Machine-To-Machine/f1-mcp-server
Author: Machine-To-Machine
Maintainer-email: Will Pak <will@machinetomachine.ai>, "Harold Bott Jr." <harold@machinetomachine.ai>
License: MIT
License-File: LICENSE
Keywords: f1,fastf1,formula1,m2m,mcp,motorsport
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.10
Requires-Dist: anyio>=4.9.0
Requires-Dist: click>=8.1.8
Requires-Dist: fastf1>=3.5.3
Requires-Dist: mcp>=1.6.0
Requires-Dist: numpy>=2.2.4
Requires-Dist: pandas>=2.2.3
Requires-Dist: uvicorn>=0.34.0
Description-Content-Type: text/markdown

# Formula One MCP Server

[![PyPI version](https://img.shields.io/pypi/v/f1-mcp-server.svg)](https://pypi.org/project/f1-mcp-server/)
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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

A Model Context Protocol (MCP) server that provides Formula One racing data. This package exposes various tools for querying F1 data including event schedules, driver information, telemetry data, and race results.

## Features

- **Event Schedule**: Access the complete F1 race calendar for any season
- **Event Information**: Detailed data about specific Grand Prix events
- **Session Results**: Comprehensive results from races, qualifying sessions, sprints, and practice sessions
- **Driver Information**: Access driver details for specific sessions
- **Performance Analysis**: Analyze a driver's performance with lap time statistics
- **Driver Comparison**: Compare multiple drivers' performances in the same session
- **Telemetry Data**: Access detailed telemetry for specific laps
- **Championship Standings**: View driver and constructor standings for any season

## Installation

In a `uv` managed python project, add to dependencies by:

```bash
uv add f1-mcp-server
```

Alternatively, for projects using `pip` for dependencies:
```bash
pip install f1-mcp-server
```

To run the server inside your project:

```bash
uv run f1-mcp-server
```

Or to run it globally in isolated environment:

```bash
uvx f1-mcp-server
```

To install directly from the source:

```bash
git clone https://github.com/Machine-To-Machine/f1-mcp-server.git
cd f1-mcp-server
pip install -e .
```

## Usage

### Command Line

The server can be run in two modes:

**Standard I/O mode** (default):

```bash
uvx run f1-mcp-server
```

**SSE transport mode** (for web applications):

```bash
uvx f1-mcp-server --transport sse --port 8000
```

### Python API

```python
from f1_mcp_server import main

# Run the server with default settings
main()

# Or with SSE transport settings
main(port=9000, transport="sse")
```

## API Documentation

The server exposes the following tools via MCP:

| Tool Name | Description |
|-----------|-------------|
| `get_event_schedule` | Get Formula One race calendar for a specific season |
| `get_event_info` | Get detailed information about a specific Formula One Grand Prix |
| `get_session_results` | Get results for a specific Formula One session |
| `get_driver_info` | Get information about a specific Formula One driver |
| `analyze_driver_performance` | Analyze a driver's performance in a Formula One session |
| `compare_drivers` | Compare performance between multiple Formula One drivers |
| `get_telemetry` | Get telemetry data for a specific Formula One lap |
| `get_championship_standings` | Get Formula One championship standings |

See the FastF1 documentation for detailed information about the underlying data: [FastF1 Documentation](https://theoehrly.github.io/Fast-F1/)

## Dependencies

- anyio (>=4.9.0)
- click (>=8.1.8)
- fastf1 (>=3.5.3)
- mcp (>=1.6.0)
- numpy (>=2.2.4)
- pandas (>=2.2.3)
- uvicorn (>=0.34.0)

## Development

### Setup Development Environment

```bash
git clone https://github.com/Machine-To-Machine/f1-mcp-server.git
cd f1-mcp-server
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e ".[dev]"
```

### Code Quality

```bash
# Run linting
uv run ruff check .

# Run formatting check
uv run ruff format --check .

# Run security checks
uv run bandit -r src/
```

### Contribution Guidelines

1. Fork the repository
2. Create a feature branch: `git checkout -b feature-name`
3. Commit your changes: `git commit -am 'Add some feature'`
4. Push to the branch: `git push origin feature-name`
5. Submit a pull request

## License

This project is licensed under the MIT License - see the LICENSE file for details.

## Authors

- **Machine-To-Machine**

## Acknowledgements

This project leverages `FastF1`, an excellent Python package for accessing Formula 1 data. We are grateful to its maintainers and contributors.

This project was inspired by [rakeshgangwar/f1-mcp-server](https://github.com/rakeshgangwar/f1-mcp-server) which was written in TypeScript. The `f1_data.py` module was mostly adapted from their source code.
