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Use MuleSoft Documentation with AI

MuleSoft documentation is optimized for AI. Whether you’re a human pasting context into an LLM or an AI agent ingesting documentation autonomously, our content is structured to save tokens, stay grounded, and maximize technical accuracy.

Page Options

Every page of MuleSoft documentation includes a dropdown menu for AI consumption.

Dropdown menu on MuleSoft documentation pages with options shown for AI consumption

Use these options to quickly grab clean text or jump straight into your workflow:

  • Copy as Markdown: Copies the Markdown version of the page to your clipboard to streamline your prompt engineering.

  • View as Markdown: Opens the Markdown version of the page in a new tab for sharing or inspecting.

  • View on GitHub: Opens the page’s source on GitHub to review, suggest changes, or log issues.

  • View llms.txt: Opens the sitewide llms.txt index file. See llms.txt and llms-full.txt.

  • Open in ChatGPT / Claude / Perplexity: Opens a conversation with the current page as context so the LLM can answer your questions instantly.

llms.txt and llms-full.txt

MuleSoft documentation publishes llms.txt and llms-full.txt index files, which are machine-readable Markdown catalogs that let AI tools and RAG pipelines cleanly discover, search, or bulk-ingest our documentation without crawling raw HTML.

For example, you can point an AI coding assistant to the sitewide or product llms.txt URL for real-time integration context, or import the llms-full.txt file into an vector database to ground AI agents.

Depending on your data scope, you can target three types of endpoints: