Use with AI tools

Export these docs into an LLM, connect them to Claude Code / Cursor, or grab a single file for your dev team.

These docs are built to be fed into AI tools and LLMs. You don’t need to copy-paste anything manually. Here are the three best ways to do it, depending on how your team works.

1. Per-page export (fastest)

Every page in these docs has a contextual menu in the top-right. Click it and you can:

Copy page as markdown

Copies the current page’s markdown source to your clipboard. Paste into any LLM.

View as markdown

Opens the raw .md source in a new tab. Also available at <page-url>.md (e.g. /api-reference/inventory.md).

Open in ChatGPT / Claude / Perplexity

One click, opens the chat tool of your choice with the page’s content pre-loaded.

Open in Cursor / VS Code

Opens your IDE with the MCP server pre-configured so the AI can query the docs live.

2. Full docs as a single file

Want to hand the entire Phygitals Partner API reference to your LLM, your PM, or a new hire? There are two prebuilt artifacts served directly by this site:

llms-full.txt

The full docs in one markdown file. Every page, concatenated and structured for LLM ingestion. Paste directly into Claude, ChatGPT, Gemini, or any context window.

llms.txt

Index of every page with URLs and descriptions. Point an agent at this if you want it to crawl selectively instead of dumping everything.

Quick fetch

# Grab the full docs as a single file
curl -sS https://phygitals.mintlify.app/llms-full.txt -o phygitals-docs.md

# Or the index
curl -sS https://phygitals.mintlify.app/llms.txt -o phygitals-docs-index.md

3. Live MCP server (most powerful)

For Claude Code, Cursor, VS Code, and other MCP-aware clients, we host an MCP server that lets the AI query these docs on demand. The AI can search, read pages, and pull up endpoint details during a conversation without you pasting anything.

Claude Code

Run once:

claude mcp add --transport http phygitals https://phygitals.mintlify.app/mcp

Then in any Claude Code session, the model can search these docs and read any page directly.

Cursor

Open Cursor settings and add this MCP server:

{
  "mcpServers": {
    "phygitals": {
      "url": "https://phygitals.mintlify.app/mcp"
    }
  }
}

VS Code

Create .vscode/mcp.json in your project:

{
  "servers": {
    "phygitals": {
      "type": "http",
      "url": "https://phygitals.mintlify.app/mcp"
    }
  }
}

Other clients

Any MCP-compatible client can connect to:

https://phygitals.mintlify.app/mcp

Transport: Streamable HTTP. No authentication required for the public docs.

What the MCP server exposes

search_mint_starter_kit · tool

Semantic search across every page in these docs. The AI calls this when it needs to find relevant sections for a user’s question.

query_docs_filesystem_mint_starter_kit · tool

Shell-style commands (rg, cat, head, tree) over the docs as a read-only virtual filesystem. The AI uses this to read full pages or scan for exact keyword matches.

Which should you use?

Quick question

Per-page export. One click, one page, done.

Onboarding a new dev

llms-full.txt. Ship them one file with everything.

Building with AI

MCP server. Docs stay live and queryable throughout the build.

Questions? Reach out at [e-mail].