MCP Server

The Sportradar Model Context Protocol (MCP) server gives AI-powered code editors like Cursor, Windsurf, and VS Code, plus general-purpose tools like Claude Desktop, access to Sportradar API documentation, endpoint listings, and schemas.

Before You Begin

The Sportradar MCP server requires a valid Sportradar API key. If you don't already have one, you can create a free trial through the Sportradar Marketplace:

1. Visit the Sportradar Marketplace and register for an account.
2. Browse by sport, league, or product type and select a product to start a free 30-day trial.
3. Once your trial is approved, copy your API key from your Marketplace account — you'll use it in the MCP client configuration below.

What is MCP?

Model Context Protocol (MCP) is an open standard that allows AI applications to securely access external data sources and tools. The Sportradar MCP server provides AI agents with:

• Documentation access for Sportradar APIs
• Endpoint listing and search across available specs
• Request body, response schema, and security schema details to help build correct calls
• Code snippet generation for calling Sportradar endpoints

The MCP server returns documentation and schema information only. It does not proxy live API calls or return account data — your AI tool uses what it returns to help you build and verify your own requests.

MCP Server Setup

All Sportradar MCP tools are hosted at the same endpoint: https://developer.sportradar.com/mcp.

Configure your AI development tools to connect to this server. Your MCP client configuration may include multiple named profiles, each representing a different tool namespace.

For example, you can define profiles such as:

• sportradar-soccer
• sportradar-football
• sportradar-baseball
• sportradar-odds

Each profile points to the same URL, but allows you to organize and load only the tools relevant to the sport or product area you want to work with.

You can pass in your x-api-key authorization headers via query parameters, or however headers are configured in your MCP client.

{
  "mcpServers": {
    "sportradar-soccer": {
      "type": "http",
      "url": "https://developer.sportradar.com/mcp",
      "headers": {
        "x-api-key": "YOUR_API_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "sportradar-soccer": {
      "type": "http",
      "url": "https://developer.sportradar.com/mcp",
      "headers": {
        "x-api-key": "YOUR_API_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "sportradar-soccer": {
      "type": "http",
      "url": "https://developer.sportradar.com/mcp",
      "headers": {
        "x-api-key": "YOUR_API_KEY_HERE"
      }
    }
  }
}

{
  "servers": {
    "sportradar-soccer": {
      "type": "http",
      "url": "https://developer.sportradar.com/mcp",
      "headers": {
        "x-api-key": "YOUR_API_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "sportradar-soccer": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://developer.sportradar.com/mcp?x-api-key=YOUR_API_KEY_HERE"
      ]
    }
  }
}

{
  "mcpServers": {
    "sportradar-soccer": {
      "type": "http",
      "url": "https://developer.sportradar.com/mcp",
      "headers": {
        "x-api-key": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Available Server Profiles and Tools

We offer several MCP server profiles, all pointing to the same endpoint (developer.sportradar.com/mcp).

This should help your AI dev tools to focus on the intended data subset. Keep this in mind when setting up your queries. For example, use the sportradar-basketball server to search for NBA data. Below are the available profiles, and their included APIs.

MCP Server Profiles

MCP Tools

The following tools are available for each of the above profiles:

• get-code-snippet
• get-endpoint
• get-request-body
• get-response-schema
• get-server-variables
• list-endpoints
• list-security-schemas
• list-specs
• search-specs

Testing Your MCP Setup

Once configured, you can test your MCP server connection:

1. Open your AI editor (Cursor, Windsurf, VS Code, etc.)
2. Connect to the appropriate server
3. Start a new chat with the AI assistant
4. Ask about our sports data! - try our query suggestions to get started

The AI should now have access to Sportradar documentation through the MCP server.

Tips & FAQs

Query Suggestions

These are just a handful of sample questions you can ask your AI assistant. The MCP server answers them from Sportradar's API documentation, schemas, and specs — it does not fetch live data on your behalf, so use the answers to build your own calls.

• Using the sportradar-[server-profile] MCP server, which endpoint returns live scoring for [sport / API], and what fields does its response include?
• Which [sport / API] endpoint returns the latest standings, and what query parameters does it accept?
• What leagues and competitions does the [sport / API] API cover?
• Which fields does the player profile response schema include for [sport / API]?
• Generate a Python code snippet for calling the NFL Game Play-by-Play endpoint using the sportradar-football MCP server.
• Build a [coding language] script that calls the NFL standings endpoint, using the sportradar-football MCP server for the endpoint path, request parameters, and response schema.
• Which endpoints under sportradar-[server-profile] return live game statistics for [sport / API], and what fields are available?
• Which [sport / API] endpoints and fields would I use to build a playoff bracket?
• Which Images API endpoint returns MLB player headshots, and how do I call it?

❗️

Disclaimer

Please keep in mind that AI-generated responses are not curated or validated by Sportradar in any way.

We suggest using our MCP server as a building block in your integration. Always verify responses prior to using in your production environment.