🏎️ MCP Server F1Analisys

by Maxbleu

254 downloads

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GitHub

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AI

About

A Model Context Protocol (MCP) server for interacting with F1Analisys through LLM interfaces like Claude. It provides Formula 1 data analysis tools for enthusiasts and analysts who have Claude installed on their system.

Details

Author: Maxbleu
Downloads: 254
Categories: Other, AI

- Track dominance analysis for official and pre-testing sessions
- Top speed, lap time average, and distribution tools
- Team performance and fastest laps analysis
- Race and sprint position evolution tracking
- Comparative lap times, throttle, and braking usage
- Long runs and fastest drivers per compound

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name 🏎️ MCP Server F1Analisys

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

From the repository

Install the package via pip (pip install mcp-f1analisys), then add the server configuration to Claude’s desktop config file (claude_desktop_config.json) with the command python -m mcp-f1analisys. Alternatively, you can install directly with mcp install .\server.py.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "\ud83c\udfce\ufe0f mcp server f1analisys": {
            "mcp-f1analisys": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp-f1analisys"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-f1analisys": {
        "command": "python",
        "args": [
            "-m",
            "mcp-f1analisys"
        ]
    }
}

🏎️ 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: ``

commandline
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:

json
{
  "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:

commandline
.\.venv\Scripts\activate



Install the mcp server in Claude using the following command:

commandline
mcp install .\server.py



Requirements

The requirementes used to build this MCP server are:
-

mcp[cli]

httpx



Testing 

You can test the server using the MCP Inspector:

commandline
mcp dev .\server.py

License

This project is licensed under the MIT <a href="https://github.com/Maxbleu/mcp-f1analisys/blob/master/LICENSE">LICENSE</a> - see the details.

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

🏎️ MCP Server F1Analisys

Getting Started

Tools

Instalation

Requirements

Testing

License

Install

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