@racehooks/mcp

@racehooks/mcp

MCP server that gives AI assistants direct access to RaceHooks motorsport analytics and data, enabling management of webhooks, live sessions, simulations, and account usage.

Category
Visit Server

README

@racehooks/mcp

MCP server for RaceHooks — gives AI assistants (Claude, Cursor, Windsurf) direct access to RaceHooks motorsport analytics and data.

npm License: MIT

RaceHooks is an independent service and is not affiliated with or endorsed by Formula One Management or the FIA. "Formula 1," "F1," and related marks are trademarks of Formula One Licensing BV.

What this does

Exposes your RaceHooks account as a set of tools and resources an AI assistant can call:

Tools (actions):

  • list_feeds / list_webhooks / get_webhook / create_webhook / delete_webhook
  • test_webhook / get_webhook_logs
  • get_live_session / list_events
  • get_subscription / get_usage / get_usage_by_feed / get_billing_plan
  • start_simulation / list_simulations / get_simulation / cancel_simulation

Resources (read-only context):

  • racehooks://feeds — full feed catalog
  • racehooks://live — current live session state
  • racehooks://webhooks — all webhook subscriptions
  • racehooks://usage — current delivery usage

Prompts (guided workflows):

  • setup_race_event_webhook — create an events.race subscription with filters
  • setup_fantasy_scoring_webhook — create a fantasy-optimised subscription
  • check_account_health — full account health summary

Installation

npm install -g @racehooks/mcp

Or run directly with npx:

npx @racehooks/mcp

Get your API credentials at racehooks.io.

Configuration

Set two environment variables before starting:

export RACEHOOKS_CLIENT_ID="your-client-id"
export RACEHOOKS_CLIENT_SECRET="your-client-secret"
# Optional — defaults to https://api.racehooks.io
export RACEHOOKS_BASE_URL="https://api.racehooks.io"

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "racehooks": {
      "command": "npx",
      "args": ["-y", "@racehooks/mcp"],
      "env": {
        "RACEHOOKS_CLIENT_ID": "your-client-id",
        "RACEHOOKS_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

Claude Code (project config)

Add to .claude/settings.json in your project:

{
  "mcpServers": {
    "racehooks": {
      "type": "stdio",
      "command": "racehooks-mcp",
      "env": {
        "RACEHOOKS_CLIENT_ID": "your-client-id",
        "RACEHOOKS_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

Or with npx (no global install needed):

{
  "mcpServers": {
    "racehooks": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@racehooks/mcp"],
      "env": {
        "RACEHOOKS_CLIENT_ID": "your-client-id",
        "RACEHOOKS_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or equivalent):

{
  "mcpServers": {
    "racehooks": {
      "command": "npx",
      "args": ["-y", "@racehooks/mcp"],
      "env": {
        "RACEHOOKS_CLIENT_ID": "your-client-id",
        "RACEHOOKS_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

Example usage with Claude

Once configured, you can ask Claude things like:

"Check my RaceHooks account health"

"Create an events.race webhook for https://myapp.com/hook, filtering for Ferrari only"

"Start a simulation of the 2025 Monaco GP qualifying against my webhooks at 10× speed"

"Show me which feeds are using the most delivery quota today"

"Set up a fantasy scoring webhook for my VER, NOR, LEC team at https://scoring.myapp.com/hook"

Security

The MCP server runs as a local stdio process — it never binds a network port. Your credentials are passed via environment variables, not included in tool calls or resource URIs.

All API calls are authenticated using OAuth 2 client credentials (token auto-refreshes before expiry).

Links

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured