🚀 Hosting ChatGPT Apps on the Cloud

You can now deploy and host ChatGPT Apps on mcp-agent cloud, our MCP-native platform.

No complex infra. No manual setup. Just write your app, connect it, and deploy in minutes.

💬 What Are ChatGPT Apps

ChatGPT Apps let you create interactive experiences that live inside ChatGPT conversations.

Apps can connect to APIs, databases, or services and respond with in-chat UI elements such as maps, charts, or playlists.

ChatGPT Apps are powered by the Model Context Protocol (MCP), which allows ChatGPT to talk directly to external services through a structured interface.

⚙️ What is mcp-agent

mcp-agent is an open-source toolkit and hosting platform for developers building MCP servers and ChatGPT Apps.

It helps you:

• Build and run MCP servers locally or in the cloud
• Simplify connection between your ChatGPT App and backend
• Manage deployment, logging, and configuration automatically

In short, mcp-agent is the bridge between your Python app and ChatGPT.

With mcp-agent cloud, you can host your MCP server and get a public endpoint ready for ChatGPT in minutes.

🧠 Quick Start: Deploy Your ChatGPT App

TL;DR

1. Create an MCPApp() in your Python server code
2. Install the mcp-agent library
3. Deploy with the mcp-agent CLI

1️⃣ Prerequisites

2️⃣ Install Dependencies

Using uv (recommended):

uv init
uv sync

Or with pip:

pip install mcp-agent
pip install fastapi

3️⃣ Create an MCPApp()

MCPApp is what connects your MCP server to mcp-agent cloud.

Here’s a minimal example:

from mcp_agent.app import MCPApp
from fastmcp import FastMCP  # import if your project uses FastMCP

mcp = FastMCP(
    name="your-app-name",
    message_path="/sse/messages",  # aligns with your SSE path
    stateless_http=True,           # recommended for cloud hosting
)

## Register your MCP server as an mcp-agent App
app = MCPApp(
    name="your-app-name",
    description="your-app-description",
    mcp=mcp,
)

## Your ChatGPT Application code here

These few lines are what make your app discoverable and deployable by mcp-agent cloud.

4️⃣ Add Deployment Config and Secrets

At your repo root, create two files:

mcp_agent.config.yaml

execution_engine: asyncio

name: "your-app-name"
description: "your-app-description"

logger:
  transports: [console, file]
  level: info
  path: logs/mcp-agent.log

mcp_agent.secrets.yaml

## Optional: include API keys, tokens, or secrets here

5️⃣ Deploy to mcp-agent Cloud

Using uv:

uv run mcp-agent login
uv run mcp-agent deploy --no-auth

Or with venv:

mcp-agent login
mcp-agent deploy --no-auth

Support for OAuth coming soon

After a successful deploy, you’ll see a cloud URL like:

https://.deployments.mcp-agent.com/sse

6️⃣ Connect to ChatGPT

1. Enable Developer Mode in ChatGPT
2. Go to Settings → Connectors
3. Add your app’s cloud URL (make sure it ends with /sse)

ChatGPT connects to the /sse endpoint, so that suffix is required.

🧰 Troubleshooting

404 or Connection Errors:

Make sure your URL ends with /sse and your app’s message_path is /sse/messages.

Auth Errors:

If deploy fails, run mcp-agent login.

If ChatGPT can’t connect, make sure you deployed with --no-auth for open access.

Debugging:

Use MCP Inspector to test and validate your MCP server locally.

🧩 Example Projects

❤️ Wrapping Up

ChatGPT Apps are a new way to create interactive, conversational tools that live right inside ChatGPT.

With mcp-agent cloud, deploying one is as simple as:

mcp-agent deploy --no-auth

And just like that, your ChatGPT App is live and ready for anyone to use.