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

Not sure where to start?

I want to...	Start here
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