AIBase
EN
Explore
Formula1 MCP
F

Formula1 MCP

An F1 racing data MCP server based on TypeScript, providing real-time and historical F1 race data, including driver information, circuit data, weather conditions, etc., and supporting access through standardized URIs.
Research and dataEntertainment and media#F1 data#Live races#Racing history#MCP service Remote.TypeScript
2.5 points
9.1K
Open Site

Overview

Installation

Tools List

Content Details

Alternatives

What is the Formula1 MCP Server?

The Formula1 MCP Server is a specialized service that provides access to both real-time and historical Formula 1 racing data. It serves as a bridge between official F1 data sources and your applications, delivering information like race results, driver statistics, weather conditions, and more through a standardized protocol.

How to use the Formula1 MCP Server?

You can interact with the server either through automated installation via Smithery or manual setup. Once configured, you can query various F1 data points using simple commands that return structured information about races, drivers, teams, and more.

Ideal Use Cases

Perfect for F1 fans building dashboards, journalists needing quick race facts, fantasy league managers tracking performance, or developers creating F1-related applications. Also great for educational purposes to study racing statistics.

Key Features

Real-time Timing Data
Access live timing information during ongoing F1 sessions including lap times, positions and gaps
Historical Race Archives
Comprehensive database of past races, results, and statistics from multiple seasons
Driver Profiles
Detailed information about drivers including career statistics and performance metrics
Constructor Information
Complete profiles of F1 teams with their historical performance and current standings
Car Telemetry
Technical data about car performance during sessions (when available)
Circuit Details
Information about race tracks including layouts, characteristics and historical records
Advantages
Provides both real-time and historical data in one service
Standardized interface through MCP protocol
Comprehensive coverage of F1 statistics
Regularly updated with current season data
Free to use and open source
Limitations
Real-time data depends on official F1 API availability
Historical data may have some gaps in very old seasons
Telemetry data limited to what's publicly available
Requires basic technical knowledge for setup

Getting Started

Installation
Choose between quick installation via Smithery or manual setup
Configuration
Add the server to your MCP client configuration file
Start Querying
Begin requesting F1 data using the available tools and commands

Example Use Cases

Race Weekend Preparation
Journalist preparing for an upcoming race weekend wants historical context about the circuit
Live Race Monitoring
Fan watching a race wants real-time position updates
Season Analysis
Analyst comparing team performance across a season

Frequently Asked Questions

How current is the real-time data?
How far back does historical data go?
Is there a rate limit for API calls?
Can I get data for practice sessions?
How often is the data updated?

Additional Resources

Official GitHub Repository
Source code and issue tracker
MCP Protocol Documentation
Official documentation for the Model Context Protocol
Ergast API
Historical F1 data source used by this service
OpenF1 Project
Source for real-time F1 data
MCP Inspector Tool
Debugging tool for MCP servers

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "formula1": {
      "command": "node",
      "args": ["<path-to-your-cloned-repo>/build/index.js"],
      "cwd": "<path-to-your-cloned-repo>",
      "enabled": true
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

P
Paperbanana
Python
9.1K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
10.0K
4 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
10.1K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
17.8K
5 points
M
Maverick MCP
MaverickMCP is a personal stock analysis server based on FastMCP 2.0, providing professional level financial data analysis, technical indicator calculation, and investment portfolio optimization tools for MCP clients such as Claude Desktop. It comes pre-set with 520 S&P 500 stock data, supports multiple technical analysis strategies and parallel processing, and can run locally without complex authentication.
Python
13.0K
4 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
35.2K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
23.9K
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
13.3K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
38.2K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.1K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.7K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.6K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.6K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
70.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.6K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
106.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase