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

# Using Beam Docs with AI Tools

> Bring the Beam documentation into your LLMs, IDEs, and agents

The Beam docs are built to work well with AI assistants and coding agents. You can feed them to an LLM, open them in your editor, or connect them as a tool.

## llms.txt

We publish machine-readable indexes of the documentation that follow the [llms.txt](https://llmstxt.org) standard:

* [llms.txt](https://docs.beam.cloud/llms.txt) — a concise, structured index of every page, ideal for giving a model a map of the docs.
* [llms-full.txt](https://docs.beam.cloud/llms-full.txt) — the full text of the documentation in a single file, ideal for pasting into a model with a large context window.

## Markdown for any page

Append `.md` to the URL of any docs page to get its raw Markdown. For example:

```text theme={null}
https://docs.beam.cloud/v2/getting-started/quickstart.md
```

This is handy for piping a single page into an LLM or referencing it from an agent.

## Copy and open in your assistant

Every page has a menu in the top-right corner that lets you:

* **Copy page** as Markdown to paste into any chat.
* **Open in ChatGPT, Claude, or Perplexity** with the page preloaded.
* **Open in Cursor or VS Code** to use the page as context while you build.
* **Connect via MCP** so your agent can query the docs directly.

## Building on Beam with an agent

When working with a coding agent, point it at the resources above so it has accurate, up-to-date context:

* Share `llms.txt` so the agent knows the structure of the docs.
* Share the relevant `.md` pages (for example, the [Python SDK reference](/v2/reference/py-sdk.md) or [Quickstart](/v2/getting-started/quickstart.md)) for the task at hand.
* Connect the docs MCP server so the agent can search the documentation on demand.