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LLMs

Mercur documentation is optimized for Large Language Models using the llms.txt standard. This gives AI tools a structured map of all documentation — so they can answer technical questions accurately instead of guessing. Think of it like a sitemap, but for AI: a machine-readable file that describes what documentation exists, how it’s organized, and where to find specific topics.

Available files

llms.txt

A structured index of all Mercur documentation pages with descriptions and links.
https://docs.mercurjs.com/llms.txt
Use this when your AI tool supports llms.txt natively or when you want to give it an overview of what’s available without sending the full content.

llms-full.txt

The entire Mercur documentation compiled into a single plain-text file.
https://docs.mercurjs.com/llms-full.txt
Use this when you want to give an LLM the complete context in one shot — ideal for complex questions that span multiple topics.

How to use

  1. Open Claude and create a new Project
  2. In project knowledge, add a URL: https://docs.mercurjs.com/llms-full.txt
  3. Claude now has full Mercur documentation context in every conversation within that project
Both files are auto-generated and always reflect the latest documentation. No maintenance required.

When to use llms.txt vs MCP

ApproachBest for
llms.txt / llms-full.txtOne-time context loading, tools without MCP support, offline use
MCP ServerLive search, always up-to-date results, integrated AI environments
For the best experience, use the MCP server if your tool supports it. Fall back to llms.txt when MCP isn’t available.