Use these docs in your agent

These docs are built to be read by agents as well as people. You can connect them to a coding agent over MCP, feed the whole corpus to a model as plain text, or copy any single page as Markdown. This page shows each option and the exact config to paste.

Query the docs over MCP

GitMCP turns this repository into a Model Context Protocol server with no build step. It indexes the docs and exposes tools your agent can call to search and fetch pages while it works. The endpoint is:

https://gitmcp.io/AISquare-Studio/docs

mcp.json

Most MCP clients read a JSON config that lists the servers they can reach. Add this server to that file:

{
  "mcpServers": {
    "aisquare-docs": {
      "url": "https://gitmcp.io/AISquare-Studio/docs"
    }
  }
}

Some clients still expect a command-based (stdio) server rather than a remote URL. For those, run the remote endpoint through mcp-remote:

{
  "mcpServers": {
    "aisquare-docs": {
      "command": "npx",
      "args": ["mcp-remote", "https://gitmcp.io/AISquare-Studio/docs"]
    }
  }
}

Add to Cursor

Cursor reads MCP servers from ~/.cursor/mcp.json (global) or .cursor/mcp.json in a project. Add the server there:

{
  "mcpServers": {
    "aisquare-docs": {
      "url": "https://gitmcp.io/AISquare-Studio/docs"
    }
  }
}

Reload Cursor, open Settings, and confirm aisquare-docs shows as connected under MCP. Your agent can now search and fetch these docs as it answers.

Feed the whole corpus to a model

Two routes expose these docs as plain Markdown that any model can read in one request. They follow the llms.txt convention.

Use /llms.txt when you want a small map and let the model follow links. Use /llms-full.txt when you want everything in one payload, for example to ground a one-off question or seed a retrieval index.

Copy a single page

Every page in these docs carries its own AI affordances in the header, next to the title:

• Copy Markdown copies the page as clean Markdown, ready to paste into a chat or a prompt.
• Open in ChatGPT, Claude, or Cursor opens that assistant with the page already loaded as context.

You can also fetch the raw Markdown of any page directly. Append .md to its URL:

https://docs.aisquare.studio/docs/getting-started/quickstart.md

The same URL without the suffix returns Markdown too when the request sends an Accept: text/markdown header, so a crawler or agent gets Markdown while a browser gets the rendered page.