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Let Claude, ChatGPT, Cursor and other AI apps use your Quickchat AI Agent as a tool. Connect with a hosted Model Context Protocol (MCP) server URL, no install needed.

When iPhones took off, every company needed an app in the App Store.

Now, as AI chat apps gain traction and MCP becomes the standard, every company will want an MCP so others can plug into their AI.

Most people describe MCP as the USB-C of AI: a universal, standardized way to add a tool to apps like Claude, ChatGPT or Cursor. Here is how we see it: MCP lets your favorite AI app message another AI on your behalf and bring back the answer. With Quickchat AI, anyone can plug your AI Agent into Claude, ChatGPT, Cursor, or any other app that supports the protocol.

Every Quickchat AI Agent has its own hosted MCP server. You copy one URL from the app and paste it into your AI app as a connector. There is nothing to install, no uv, no config file, and no API key to hand out. The AI app gets a single tool that asks your Agent a question and relays the answer from its Knowledge Base.

If you need a refresher on what MCP is, read our step-by-step guide.

  • Let Claude, ChatGPT, Cursor and other MCP-capable apps ask your Agent questions and get answers grounded in its Knowledge Base.
  • Share one URL. No install, no terminal, no claude_desktop_config.json to edit.
  • Keep it private to your team, or make it public so anyone with the link can use it.
  • See every conversation in your Quickchat Inbox, including the AI-to-AI exchanges.
  1. Create a Quickchat AI account. The Free plan lets you get started right away.
  2. Set up your Agent’s Knowledge Base, capabilities and settings.
  3. Open External Apps > MCP and turn Enable MCP on.
  4. Click Configure MCP and give your Agent a Name, Description and (optional) Command. These matter: an AI app reads them to decide when to call your Agent and what it can help with.
  5. Click Connect MCP and copy your MCP server URL. It looks like this:
https://app.quickchat.ai/mcp/<your-scenario-id>

The MCP integration in the Quickchat AI dashboard, with Enable MCP on and a Require sign-in toggle

Add the URL as an MCP server (a “connector”) in your AI app. The exact menu differs per app, but the URL is the same.

The Connect MCP dialog in the Quickchat AI dashboard showing the server URL and per-app steps

Go to Settings > Connectors > Add custom connector and paste the URL.

Go to Settings > MCP > Add server and paste the URL.

Go to Settings > Connectors > Developer mode and add a connector with the URL. Availability depends on your ChatGPT plan.

Any app that supports remote MCP servers works the same way: find where it adds an MCP server or connector, and paste your URL. See the MCP client directory for what each app supports.

Your Agent’s MCP is private by default. Only you and teammates with a role on the Agent can connect, and the AI app asks you to sign in with Quickchat once when you add it.

Flip Require sign-in (private) off to make it public. Anyone with the link can then use your Agent without signing in, so keep in mind:

  • Every message is a Quickchat AI reply billed to you.
  • Public callers share your Agent’s rate limit, so heavy use can eat into your allowance.

An MCP question runs through the same reply pipeline as a website conversation. The Agent can answer from its Knowledge Base and run enabled Actions, including Actions that change an external system. A question-answering tool is not a guarantee of read-only behavior.

Before making the Agent public, review the knowledge and Actions available to it. Use public information and only capabilities intended for public callers. For a public FAQ, consider a separate Agent without privileged Actions. Enforce authorization in connected systems rather than relying on the Agent’s instructions to protect private data.

This channel does not expose the separate tools for editing your Quickchat account. To configure Agents, knowledge or settings from your own AI app, use the authenticated account-management connection.

The scenario_id in the URL is not a secret (much like a public chat widget), but the private setting is what keeps access limited to your team.

Every MCP exchange shows up in your Quickchat Inbox. Note that these are the AI-to-AI transcripts between the calling app and your Agent, not the exact words the end user typed into Claude or ChatGPT.

Connected apps pick up changes to the MCP tool’s Name and Description when they refresh the connection. Knowledge Base changes are processed automatically and become available to the Agent when the article is Ready, just as on your website. There is no separate publish step. See how knowledge changes go live.

Go to the Quickchat AI app and let the world connect to your Agent. If you build something cool, share it with us on X or LinkedIn.

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