Hyprace F1 Data MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Hyprace F1 Data 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: {
"hyprace-f1-data": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Hyprace F1 Data Agent",
instructions:
"You help users interact with Hyprace F1 Data " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Hyprace F1 Data?"
);
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 Hyprace F1 Data MCP Server
Connect your AI agent to the most trusted Formula 1 data source available. Hyprace delivers deep insights into every F1 season since 1950, with results published within minutes of the chequered flag during active race weekends.
Mastra's agent abstraction provides a clean separation between LLM logic and Hyprace F1 Data tool infrastructure. Connect 12 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
- Grands Prix & Schedules — List upcoming events, browse the full season calendar, and retrieve metadata for any historical Grand Prix
- Session Results — Fetch qualifying classifications and race results including positions, gaps, fastest laps, and retirement reasons
- Championship Standings — Track Driver and Constructor rankings updated after every round throughout the season
- Driver & Team Profiles — Access career statistics, podium counts, pole positions, and detailed performance histories
- Circuit Intelligence — Inspect track details, locations, lap records, and historical race winners at each venue
- Technical Archives — Browse engine manufacturers, chassis builders, and the complete technical lineage of the sport
The Hyprace F1 Data MCP Server exposes 12 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 Hyprace F1 Data to Mastra AI via MCP
Follow these steps to integrate the Hyprace F1 Data 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 12 tools from Hyprace F1 Data via MCP
Why Use Mastra AI with the Hyprace F1 Data MCP Server
Mastra AI provides unique advantages when paired with Hyprace F1 Data through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Hyprace F1 Data 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 Hyprace F1 Data 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
Hyprace F1 Data + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Hyprace F1 Data MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Hyprace F1 Data, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Hyprace F1 Data as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Hyprace F1 Data on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Hyprace F1 Data tools alongside other MCP servers
Hyprace F1 Data MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Hyprace F1 Data to Mastra AI via MCP:
get_driver
Get detailed information for a specific F1 driver
get_grand_prix
Get detailed information for a specific Grand Prix event
get_qualifying_results
Retrieve Formula 1 qualifying session results
get_race_results
Retrieve Formula 1 race session results
get_standings
Retrieve Formula 1 championship standings
get_team
Get detailed information for a specific F1 team
list_circuits
List all Formula 1 tracks and circuits
list_drivers
List Formula 1 drivers
list_engine_manufacturers
List all F1 engine builders and providers
list_grands_prix
List Formula 1 Grands Prix events and schedules
list_seasons
List all available Formula 1 seasons (1950–Present)
list_teams
List Formula 1 teams (constructors)
Example Prompts for Hyprace F1 Data in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Hyprace F1 Data immediately.
"Show me the race results for the 2024 Monaco Grand Prix."
"What are the current driver standings for the 2025 season?"
"Tell me about Ayrton Senna's career stats."
Troubleshooting Hyprace F1 Data MCP Server with Mastra AI
Common issues when connecting Hyprace F1 Data to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpHyprace F1 Data + Mastra AI FAQ
Common questions about integrating Hyprace F1 Data 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 Hyprace F1 Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Hyprace F1 Data to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.