> For the complete documentation index, see [llms.txt](https://docs.rad.live/rad/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rad.live/rad/rad-tv-developer-api/mcp/resources-and-prompts.md).

# Resources and Prompts

## Resource: rad://api/capabilities

The MCP server exposes one resource: **`rad://api/capabilities`**.

Contents (JSON):

* `name` — Server name (e.g. `radtv-api`)
* `version` — Server version (e.g. `2025-06-18`)
* `tools` — Array of tool names (all 23 tools)
* `llms_txt` — Path to the llms.txt manifest (e.g. `/llms.txt`)
* `graphql` — Path to the GraphQL endpoint (e.g. `/graphql`)
* `description` — Short description of the API

Use this resource to discover what the server supports without calling `tools/list`. MIME type: `application/json`.

***

## Prompts

Prompts are predefined message templates that guide the agent through a workflow.

### create\_content\_and\_upload

Description: Guide to create content, create content asset, then upload file via TUS.

Summary:

{% stepper %}
{% step %}

### Create content

Call `create_content` with title/summary/type.
{% endstep %}

{% step %}

### Create content asset

Call `create_content_asset` with the returned content id, filename, and size.
{% endstep %}

{% step %}

### Upload file

POST the file to the returned endpoint with the header `Authorization: Bearer <api-key>` and `Content-Type: multipart/form-data`.
{% endstep %}
{% endstepper %}

***

### follow\_a\_channel

Description: Guide to follow a channel by DID.

Summary:

Use the `follow_channel` tool with the channel DID (e.g. `did:rad.live:channel/<uuid>`). Get channel DIDs from `list_followed_channels` or from the API.

***

## llms.txt

The full manifest for LLMs and agents is available at:

* `GET /llms.txt`
* `GET /.well-known/llms.txt` (redirects to `/llms.txt`)

It includes authentication instructions, the MCP tool list with arguments, GraphQL summary, and links to the GraphQL and MCP endpoints. Use it when your client supports llms.txt discovery.


---

# 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, and the optional `goal` query parameter:

```
GET https://docs.rad.live/rad/rad-tv-developer-api/mcp/resources-and-prompts.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.