> 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/resources.md).

# Resources

The MCP server exposes two resources that MCP clients can read directly - no tool call required.

| URI                          | What it contains                                                            |
| ---------------------------- | --------------------------------------------------------------------------- |
| `sportmonks://documentation` | Server overview, tool list, auth setup, and usage notes                     |
| `sportmonks://openapi`       | Full OpenAPI specification for the Sportmonks Football API v3, fetched live |

### sportmonks\://documentation

A plain-text overview of the server covering all available tools, authentication setup, behaviour notes (result limits, timeframes, search caps), and links to the official Sportmonks documentation.

**Best used for:** giving an AI assistant a quick orientation about the server at the start of a session.

### sportmonks\://openapi

The full OpenAPI specification for the Sportmonks Football API v3, fetched live when read. Gives an AI assistant complete visibility into every endpoint, parameter, and response shape.

**Best used for:** building API client code, writing TypeScript types from real schemas, or generating a Custom GPT Action.

### How to read a resource

**Claude Code**

Ask the AI directly by URI:

```
Read the sportmonks://documentation resource
```

```
Read sportmonks://openapi and use it to write a TypeScript type for the fixtures response
```

**Claude Desktop**

Resources may appear in the attachment or context menu depending on your client version. If not visible in the UI, ask for them by URI the same way as Claude Code above.


---

# 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/resources.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.