• PACE
  • GAP
  • HEALTH
  • HUMAN

How to analyze driver performance telemetry with your AI

Connect the OpenF1 Live Data & Telemetry MCP to your agent. Once connected, your AI can pull live race data to compare driver pace and car health.

Ask AI about this page

Short answer

How can I use AI to analyze driver telemetry?

Your AI pulls live car metrics and lap data to identify where drivers are gaining or losing time. It then compares these metrics against driver intervals to highlight performance gaps. You get a technical breakdown of pace, tire wear, and sector consistency.

Technical outcomes

What your AI produces

The specific data insights your agent generates from the live feed.

PACE

Lap time analysis

The AI compares sector times to find where a driver is losing time. You get a clear view of pace degradation over a stint.

GAP

Interval tracking

Your agent monitors the distance between drivers. It identifies when a driver is falling out of contention or closing a gap.

HEALTH

Car telemetry insights

The AI looks at live car metrics to spot anomalies. You see how engine or tire data correlates with lap time fluctuations.

HUMAN

Strategy decisions

The AI provides the raw data and trends. You decide when to call for a pit stop or change the race strategy.

The workflow

What your AI does when the data arrives.

The AI acts as a technical analyst by pulling specific data points from the live feed.

  1. Fetch car data

    The AI pulls live sensor data from the car to check engine and tire status.

    get_car_telemetry

  2. Compare lap times

    It pulls timing data to see how fast each lap was compared to the previous one.

    get_lap_times

  3. Track driver gaps

    The agent calculates the distance between drivers to monitor the race order.

    get_driver_intervals

  4. Synthesize trends

    The AI combines telemetry and timing to explain why a driver is losing pace.

    get_car_telemetryget_lap_times

Try it

Copy these to start.

Use these prompts to begin your analysis.

Starting points

Swap the driver names or session IDs for the specific race you want to analyze.

OpenF1 Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_XG1pwE9OVdDoHaX7ISl3QsfVyUtAjszpvNFUWbOn/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — OpenF1 capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "openf1-live-data-telemetry-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XG1pwE9OVdDoHaX7ISl3QsfVyUtAjszpvNFUWbOn/mcp"
    }
  }
}
Copy into chat04

  • Compare the lap times for Max Verstappen and Lewis Hamilton in the current session.

  • Analyze the car telemetry for the leading car to see if tire degradation is affecting pace.

  • Show me the driver intervals for the top five drivers in the race.

  • Identify which sectors are causing the most time loss for the driver in P3.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect OpenF1 Live Data & Telemetry once, then ask.

One click connects the MCP to your agent. Your credentials stay encrypted, and you can start asking questions immediately.

Connect OpenF1 Live Data & Telemetry to your AI

FAQ

How the analysis behaves

  • 01

    Can the AI change the driver's settings?

    No. The AI can only read telemetry and timing data. It cannot send commands to the car or change any settings.

  • 02

    Does the AI store my session data?

    No. The AI uses the data to answer your questions in the moment. It does not save or store the telemetry for later use.

  • 03

    Can I use this with Claude?

    Yes, as long as you are using an MCP-compatible client like Claude Desktop.

  • 04

    Does it provide historical data from years ago?

    No. The tools are designed for live data and current session metrics.

  • 05

    Can the AI predict the winner?

    The AI can analyze current intervals and pace trends, but it cannot predict the future or guarantee race outcomes.

  • More questions about OpenF1 Live Data & Telemetry? The Connector page answers them. See everything the OpenF1 Live Data & Telemetry Connector can do

Connect OpenF1 to Claude, Cursor, ChatGPT & more