OpenF1 Live Data & Telemetry MCP Server for Mastra AI 15 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect OpenF1 Live Data & Telemetry through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"openf1-live-data-telemetry": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "OpenF1 Live Data & Telemetry Agent",
instructions:
"You help users interact with OpenF1 Live Data & Telemetry " +
"using 15 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with OpenF1 Live Data & Telemetry?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About OpenF1 Live Data & Telemetry MCP Server
Transform your AI agent into a professional Formula 1 data analyst with OpenF1. This high-performance server provides unprecedented access to granular race data and live car telemetry directly from the track. Your agent can monitor high-frequency technical metrics such as RPM, gear usage, and throttle application, while also tracking the narrative of the race through team radio links and official FIA race control messages. Whether you are analyzing tire strategies, auditing sector times, or following live overtakes, your agent provides deep technical intelligence through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and OpenF1 Live Data & Telemetry tool infrastructure. Connect 15 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Technical Analysis — Retrieve live car telemetry including speed, engine RPM, and DRS usage for any driver directly from the session data
- Race Narrative — Follow team radio communications and official race control updates in real-time to understand race incidents
- Strategy Auditing — Track tire compounds, stint lengths, and pit stop durations across the entire field to map race strategy
- Performance Benchmarking — Compare sector times (S1, S2, S3) and lap-by-lap consistency to identify precise performance gaps
The OpenF1 Live Data & Telemetry MCP Server exposes 15 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect OpenF1 Live Data & Telemetry to Mastra AI via MCP
Follow these steps to integrate the OpenF1 Live Data & Telemetry MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 15 tools from OpenF1 Live Data & Telemetry via MCP
Why Use Mastra AI with the OpenF1 Live Data & Telemetry MCP Server
Mastra AI provides unique advantages when paired with OpenF1 Live Data & Telemetry through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add OpenF1 Live Data & Telemetry without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every OpenF1 Live Data & Telemetry tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
OpenF1 Live Data & Telemetry + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the OpenF1 Live Data & Telemetry MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query OpenF1 Live Data & Telemetry, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed OpenF1 Live Data & Telemetry as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query OpenF1 Live Data & Telemetry on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using OpenF1 Live Data & Telemetry tools alongside other MCP servers
OpenF1 Live Data & Telemetry MCP Tools for Mastra AI (15)
These 15 tools become available when you connect OpenF1 Live Data & Telemetry to Mastra AI via MCP:
get_car_telemetry
Get technical telemetry for a car
get_driver_intervals
Get intervals and gaps between drivers
get_driver_standings
Get current driver championship standings
get_lap_times
Get lap and sector times
get_race_control_messages
Get FIA race control messages
get_session_results
Get final classification for a session
get_starting_grid
Get the initial race starting grid
get_team_radio
Get team radio recording links
get_team_standings
Get current team championship standings
get_weather_data
Get track and air weather data
list_drivers
List F1 drivers for a session
list_overtakes
List all overtakes during a race
list_pit_stops
List pit stop durations
list_sessions
List F1 sessions for a year
list_tyre_stints
List tyre strategy and stints
Example Prompts for OpenF1 Live Data & Telemetry in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with OpenF1 Live Data & Telemetry immediately.
"Get the technical telemetry for Max Verstappen in the latest session."
"Analyze the tire strategy for the top 5 drivers in the current session."
"Provide all race control messages involving 'Track Limits' from lap 10 onwards."
Troubleshooting OpenF1 Live Data & Telemetry MCP Server with Mastra AI
Common issues when connecting OpenF1 Live Data & Telemetry to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOpenF1 Live Data & Telemetry + Mastra AI FAQ
Common questions about integrating OpenF1 Live Data & Telemetry MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect OpenF1 Live Data & Telemetry with your favorite client
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OpenF1 Live Data & Telemetry to Mastra AI
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.