How quickly are race results available after a session ends?

Results for active sessions — Practice, Qualifying, Sprint, and Race — are typically published within minutes of the chequered flag. Use the `get_race_results` or `get_qualifying_results` tools with the relevant season and Grand Prix to retrieve the latest classifications instantly.

Can I compare driver performance across different decades of Formula 1?

Absolutely. The Hyprace database covers every F1 season since the inaugural championship in 1950. Use `get_driver` to retrieve career statistics for any pilot — from Juan Manuel Fangio to Max Verstappen — and `get_standings` to compare how they ranked against their contemporaries in specific seasons.

Is this integration read-only, or can it modify F1 data?

All 12 tools are strictly read-only query operations against the Hyprace data archive. The integration cannot modify, create, or delete any records. Your RapidAPI key is used solely for authenticated data retrieval, ensuring complete safety of your API quota and account.

Hyprace F1 Data MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Hyprace F1 Data
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Hyprace F1 Data as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="hyprace_f1_data_agent",
    instruction=(
        "You help users interact with Hyprace F1 Data "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

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* 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.

Google ADK natively supports Hyprace F1 Data as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Hyprace F1 Data MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from Hyprace F1 Data via MCP

Why Use Google ADK with the Hyprace F1 Data MCP Server

Google ADK provides unique advantages when paired with Hyprace F1 Data through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Hyprace F1 Data

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Hyprace F1 Data tools with BigQuery, Vertex AI, and Cloud Functions

Hyprace F1 Data + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Hyprace F1 Data MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Hyprace F1 Data and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Hyprace F1 Data tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Hyprace F1 Data regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Hyprace F1 Data

Hyprace F1 Data MCP Tools for Google ADK (12)

These 12 tools become available when you connect Hyprace F1 Data to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Hyprace F1 Data to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Hyprace F1 Data + Google ADK FAQ

Common questions about integrating Hyprace F1 Data MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.