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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.

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llms.txt

We publish machine-readable indexes of the documentation that follow the llms.txt standard:
  • llms.txt — a concise, structured index of every page, ideal for giving a model a map of the docs.
  • llms-full.txt — the full text of the documentation in a single file, ideal for pasting into a model with a large context window.

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Markdown for any page

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

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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.

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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 or Quickstart) for the task at hand.
  • Connect the docs MCP server so the agent can search the documentation on demand.