Compatible with every major AI agent and IDE
Get car telemetry on OpenF1 Live Data & Telemetry
Get technical telemetry for a car
Get driver intervals on OpenF1 Live Data & Telemetry
Get intervals and gaps between drivers
Get driver standings on OpenF1 Live Data & Telemetry
Get current driver championship standings
Get lap times on OpenF1 Live Data & Telemetry
Get lap and sector times
Get race control messages on OpenF1 Live Data & Telemetry
Get FIA race control messages
Get session results on OpenF1 Live Data & Telemetry
Get final classification for a session
Get starting grid on OpenF1 Live Data & Telemetry
Get the initial race starting grid
Get team radio on OpenF1 Live Data & Telemetry
Get team radio recording links
Get team standings on OpenF1 Live Data & Telemetry
Get current team championship standings
Get weather data on OpenF1 Live Data & Telemetry
Get track and air weather data
List drivers on OpenF1 Live Data & Telemetry
List F1 drivers for a session
List overtakes on OpenF1 Live Data & Telemetry
List all overtakes during a race
List pit stops on OpenF1 Live Data & Telemetry
List pit stop durations
List sessions on OpenF1 Live Data & Telemetry
List F1 sessions for a year
List tyre stints on OpenF1 Live Data & Telemetry
List tyre strategy and stints
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Can my AI automatically analyze technical performance gaps between two specific drivers in a session?
Yes! By using tools like get_lap_times and get_car_telemetry, your agent can compare sector-by-sector data, top speeds, and braking points to identify exactly where one driver is gaining or losing time compared to another.
Automated Workflows using OpenF1 Live Data & Telemetry
The OpenF1 Live Data & Telemetry MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Mastering formula 1 with Agents
The OpenF1 Live Data & Telemetry toolkit translates Claude's commands into formula 1 operations. The MCP server ensures accurate delivery within the data analytics ecosystem.
Autonomous telemetry Strategies
The OpenF1 Live Data & Telemetry toolkit provides secure access to telemetry functions. It enables conversational agents to manage data analytics settings deterministically.
OpenF1 Live Data & Telemetry. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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.
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