AI Tools Setup

Connect Cursor, Codex, Windsurf, Claude Desktop and other AI coding tools to SportsAPI Pro documentation

Use AI Tools with SportsAPI Pro

SportsAPI Pro documentation is optimized for AI-assisted development. Connect your favorite AI coding tool so it understands all endpoints, authentication, base URLs, rate limits, and data structures automatically.

MCP Server

For tools that support Model Context Protocol

https://docs.sportsapipro.com/mcp

Full Context File

Complete documentation for deep AI context

https://docs.sportsapipro.com/llms-full.txt

Short Context File

Concise summary of endpoints and key info

https://docs.sportsapipro.com/llms.txt

What This Enables

Once connected, your AI assistant will understand:

• All 154+ V2 endpoints across 25 sports
• Authentication requirements (x-api-key header)
• Base URL patterns (https://v2.{sport}.sportsapipro.com)
• Rate limits and error handling
• WebSocket connections for real-time data
• Request/response schemas for every endpoint

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Setup by Tool

Cursor

Add to your project’s .cursor/mcp.json:

{
  "mcpServers": {
    "sportsapi-pro-docs": {
      "url": "https://docs.sportsapipro.com/mcp"
    }
  }
}

Restart Cursor after saving. The MCP server will appear in your tool list.

Windsurf

1. Open Settings → MCP Servers
2. Add a new server with the URL:

https://docs.sportsapipro.com/mcp

3. Save and restart Windsurf.

OpenAI Codex

Add to your .codex/config.json:

{
  "mcpServers": {
    "sportsapi-pro-docs": {
      "url": "https://docs.sportsapipro.com/mcp"
    }
  }
}

Or pass it via CLI:

codex --mcp-server "https://docs.sportsapipro.com/mcp"

Claude Desktop

Add to your claude_desktop_config.json (located in ~/Library/Application Support/Claude/ on macOS or %APPDATA%\Claude\ on Windows):

{
  "mcpServers": {
    "sportsapi-pro-docs": {
      "url": "https://docs.sportsapipro.com/mcp"
    }
  }
}

Restart Claude Desktop after saving.

Any MCP-Compatible Client

Use the following MCP server URL in any tool that supports the Model Context Protocol:

https://docs.sportsapipro.com/mcp

This is a Streamable HTTP MCP server — no API key is required to connect.

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Using the LLM Context Files

If your tool doesn’t support MCP, you can use our documentation context files instead. We offer two versions:

File	URL	Best for
Full context	https://docs.sportsapipro.com/llms-full.txt	Deep integration — complete docs, schemas, and guides
Short summary	https://docs.sportsapipro.com/llms.txt	Quick reference — concise endpoint list and key info

How to use them

• Custom instructions: Paste the URL (or its contents) into your AI tool’s system prompt or custom instructions
• ChatGPT / Claude: Paste the content into the conversation for full API context. Use llms-full.txt for detailed questions or llms.txt for a quick overview
• RAG pipelines: Fetch and index llms-full.txt for retrieval-augmented generation

Both files are automatically kept in sync with the documentation, so they always reflect the latest endpoints and guides.

Need Help?

Email Support

Get help setting up your AI tools

API Reference

Browse the full endpoint documentation