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ConnectConnect your AI agent

Connect your AI agent

One prompt to paste into your agent. It sets up the connection and you approve the access.

Open Connect your agent in the sidebar, or Developer tools, and copy the setup prompt. Paste it into your AI agent. With a terminal, it installs the CLI, the most capable route. A hosted assistant such as claude.ai or ChatGPT connects the MCP server instead. It walks you through signing in.

The prompt is a pointer, not the instructions. It tells the agent to read /agent.md, which holds the steps for each client:

  • Claude Code
  • Codex
  • Cursor
  • VS Code with GitHub Copilot
  • a hosted assistant with custom connectors
  • any other client that can run commands, or that supports remote MCP

What you do

You sign in, choose the workspace and approve the permissions, in your browser, on our page. The agent never sees a password, and the prompt contains no key or token.

Then the agent reads your account to prove the connection works. That is a read-only call: setup creates, changes and spends nothing.

If the agent cannot configure itself

A client with no terminal or configuration access cannot install a connector from a prompt alone. It will give you the endpoint to add by hand:

https://mcp.atelier201.com/mcp

Add it as a custom remote MCP connector in that client, then choose Connect and complete the sign-in. The MCP overview has the generic JSON entry.

Start before signup

The website’s Start with your AI agent button copies a short prompt. An HTTP-capable agent can prepare a site without an account, build it, and give you a demo link and a claim link. You sign up or sign in, review the site, and choose whether to connect the agent. The claim link works for 7 days.

Declining access still keeps the site. Approving access lets the agent receive its token through OAuth. Nothing is published and no domain is connected during the claim: publishing stays a separate instruction after you have seen the preview. See Guest sites.

Use these docs with your AI tools

An AI agent can read this documentation directly. You do not need an account or an API key. Everything here is public and read-only.

Query these docs via MCP

Recommended

Add this server to Claude, Claude Code, Cursor, Mistral, or any tool that supports MCP. Your agent can then search Atelier201 Docs documentation and read it in full, instead of answering from memory.

https://atelier201.com/docs/mcp
  • searchFind the passages that answer a question.
  • fetchRead one page in full, as Markdown.
  • list_pagesSee every page in this documentation.

Query these docs over HTTP

The same tools also work as plain web requests. Use this for scripts, or for any tool that does not support MCP. There is one endpoint per tool. Arguments go in the query string, and the answer comes back as JSON.

https://atelier201.com/docs/api/docs/search?query=custom+domain

Read the OpenAPI description. It is built from the same definitions as the tools, so it always matches what the endpoints do.

Read these docs as Markdown

Add .md to any page URL to get its Markdown source. You can also send the headerAccept: text/markdown to the page URL itself.

To read the whole documentation in one file, open llms-full.txt. For a short index of every page, open llms.txt.