> For the complete documentation index, see [llms.txt](https://docs.sportmonks.com/v3/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sportmonks.com/v3/sportmonks-ai-docs/mcp-server-beta/example-prompts.md).

# Example Prompts

Things you can ask once the MCP server is connected. Copy any of these directly into Claude, Cursor, or Windsurf.

> Want broader build ideas using all AI tools? See Example Builds.

### Finding things

*Search for "Barcelona" - is it a team, a league, or both?*

*Find the player ID for Erling Haaland*

*Search for leagues named "Premier League" - how many are there?*

### Teams and players

*Get the profile for Manchester City*

*Show me the current squad for Liverpool*

*Who was in Arsenal's squad during the 2021/22 season?*

*Get the profile for Vinicius Jr - which club is he at?*

<figure><img src="/files/XzXonkvOvTYNcubftJ1a" alt=""><figcaption></figcaption></figure>

### Fixtures

*Show me Real Madrid's upcoming fixtures for the next two weeks*

*What were Chelsea's results over the last 30 days?*

*Are there any live matches right now?*

*Get the full details for fixture 123456 including lineups and events*

### Standings and seasons

*Show me the current Premier League standings*

*What seasons has the Champions League had? Give me the most recent ones first*

*Who are the top 10 goal scorers in Serie A this season?*

*Show me the top 5 assist providers and top 5 yellow card recipients in the Bundesliga*

### Pre-built briefings

*Give me a pre-match briefing for the upcoming El Clasico - use the match\_preview prompt*

*Run the team\_overview prompt for Manchester United*

*Generate a league\_overview for the Premier League*

### Building with the API

*Fetch a sample fixture response using get\_fixture\_details, then write me a TypeScript interface for the response shape*

*Use get\_standings to get the current La Liga table and format it as a markdown table*

*Build a function that takes a team name, searches for it, then fetches its next 5 fixtures*


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.sportmonks.com/v3/sportmonks-ai-docs/mcp-server-beta/example-prompts.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.