Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.mercurjs.com/llms.txt

Use this file to discover all available pages before exploring further.

​
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.