> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aircaps.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Use with AI

> Give coding assistants and agents the AirCaps docs as Markdown, llms.txt or an MCP server.

Every page has a menu (top right) to **copy it as Markdown** or open it in ChatGPT, Claude, Perplexity, Cursor or VS Code.

| Resource | URL | Use it for |
| - | - | - |
| Page as Markdown | Add `.md` to any page URL, e.g. [`/quickstart.md`](https://docs.aircaps.com/quickstart.md) | One page in an agent's context |
| Index | [`/llms.txt`](https://docs.aircaps.com/llms.txt) | A map of every page, for agents to choose from |
| Full docs | [`/llms-full.txt`](https://docs.aircaps.com/llms-full.txt) | All docs in one file |
| OpenAPI spec | [`/openapi.json`](https://docs.aircaps.com/openapi.json) | Generating clients and tool definitions |
| MCP server | `https://docs.aircaps.com/mcp` | Letting an agent search the docs itself |

## Connect the MCP server

<CodeGroup>
  ```bash Claude Code theme={null}
  claude mcp add --transport http aircaps-docs https://docs.aircaps.com/mcp
  ```

  ```json Cursor / VS Code theme={null}
  { "mcpServers": { "aircaps-docs": { "url": "https://docs.aircaps.com/mcp" } } }
  ```
</CodeGroup>

## Prompt to start with

```text theme={null}
Use the AirCaps API docs at https://docs.aircaps.com/llms.txt.
Write a script that uploads audio.mp3, transcribes it with A5S Async v1 (English) and prints each utterance with its speaker.
Read my key from the AIRCAPS_API_KEY environment variable.
```


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