Maxbleu/mcp-f1analisys
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A Model Context Protocol (MCP) server for interacting with F1Analisys through LLM interfaces like Claude.
Track dominance
Analyze which teams or drivers dominate specific tracks.
Top speed
Evaluate the top speeds achieved during sessions.
Lap time average
Calculate the average lap times for drivers or teams.
Lap time distribution
Visualize the distribution of lap times across sessions.
Team performance
Assess the overall performance of teams during races.
🏎️ MCP Server F1Analisys
A Model Context Protocol (MCP) server for interacting with F1Analisys through LLM interfaces like Claude. You will need to have Claude installed on your system to continue.
Getting Started
First of all, you need to install mcp-f1analisys
package from pypi with pip, using the following command:
pip install mcp-f1analisys
To use mcp-f1analisys
server in claude can be configured by adding the following to your configuration file.
- Windows:
%APPDATA%/Claude/claude_desktop_config.json
- Linux:
~/Library/Application Support/Claude/claude_desktop_config.json
Add the F1Analisys MCP server configuration:
{
"mcpServers": {
"mcp-f1analisys": {
"command": "python",
"args": [ "-m", "mcp-f1analisys" ]
}
}
}
Tools
- Track dominance
- Top speed
- Lap time average
- Lap time distribution
- Team performance
- Fastest laps
- Race position evolution
- Fatest drivers each compound
- Comparative lap time
- Throttle usage
- Braking usage
- Long runs
Instalation
Active the virtual environment and install the requirements using:
.\.venv\Scripts\activate
Install the mcp server in Claude using the following command:
mcp install .\server.py
Requirements
The requirementes used to build this MCP server are:
mcp[cli]
httpx
fastmcp
Testing
You can test the server using the MCP Inspector:
mcp dev .\server.py
License
This project is licensed under the MIT LICENSE - see the details.