For the complete documentation index, see llms.txt. This page is also available as Markdown.

AI Developer Hub

Get live football data into any AI workflow - from a conversational assistant in Claude to accurate code generation in Cursor and Copilot. Choose the integration that fits how you work.

Claude and Cursor - MCP Server (BETA)

The deepest integration. Install the MCP server and your AI assistant calls the Sportmonks API live during the conversation - no copy-pasting, no manual lookups, no stale data.

The MCP server covers a focused set of football data endpoints. It is designed for exploration and prototyping, not production API usage.

  • MCP Server overview

  • Quick start

  • Setup for Claude Code

  • Setup for Claude Desktop

  • Setup for Cursor

ChatGPT

Use the Sportmonks OpenAPI spec to create a Custom GPT with Actions. Anyone can query live football data from ChatGPT without writing a line of code.

  • ChatGPT Custom GPT setup

GitHub Copilot

Add a workspace instructions file and Copilot writes accurate Sportmonks integration code - correct endpoints, proper auth patterns, right response shapes - from the first suggestion.

  • GitHub Copilot setup

Windsurf

Cascade supports MCP natively. Install the server and Windsurf has the same live tool access as Claude.

  • Windsurf setup

Any other LLM

Paste a context block into ChatGPT, Gemini, Mistral, or anything else - and it will understand the Sportmonks API well enough to help you build, without any installation.

  • Machine-readable docs

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Query live data by asking questions

MCP Server

Build Sportmonks integrations faster in my editor

Cursor Rules or GitHub Copilot

Give non-technical users a football data assistant

ChatGPT Custom GPT

Explore what's possible in a weekend

Example Builds

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