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In this article, we walk through how to deploy your ChatGPT App to the mcp-agent cloud platform to have it readily available for anyone to use.

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What are ChatGPT Apps?

OpenAI announced the support for Apps within ChatGPT. ChatGPT Apps unlock interactive experiences that live inside ChatGPT conversations, allowing applications to respond to natural language with in-chat interfaces (like maps or playlists).

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Guide for deploying your application

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TL;DR

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

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1) Prerequisites

  • Python 3.10+

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2) Install dependencies

Using uv (recommended): 
uv init
uv sync
Or with pip: 
pip install mcp-agent
pip install fastapi

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3) Minimal code change: create an MCPApp()

MCPApp is the constructor for defining an MCP Application. The mcp-agent library looks for the MCPApp when configuring the application in the hosted cloud platform. Make sure your server creates an MCPApp() and wires it to your FastMCP instance.
main.py
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",  # important: aligns with your SSE path
    stateless_http=True,           # recommended for cloud hosting
)

# ❗️ Key addition: 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 are the key changes needed for mcp-agent cloud hosting.

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4) Add deployment config & secrets

Create two files at the repo root:
mcp_agent.config.yaml
# Execution engine: asyncio or temporal
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
# You can leave this blank. This is useful if you want to pass in keys or secrets to your MCP server

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5) Deploy to mcp-agent cloud

With 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://<deployment-id>.deployments.mcp-agent.com/sse

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6) Test in ChatGPT

  1. Enable Developer Mode in ChatGPT.
  2. Go to Settings → Connectors and add your app’s MCP server.
  3. Use your cloud URL, making sure it ends with /sse.
ChatGPT connects to the SSE endpoint, so the /sse suffix is required.
Adding a custom connector to ChatGPT

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Troubleshooting

  • 404 / Connection errors in ChatGPT: Ensure your URL ends with /sse and your code’s message_path is /sse/messages.
  • Auth errors: If you are unable to deploy because of an Auth issue, make sure you run mcp-agent login. If you are unable to access your ChatGPT app, make sure you deployed with the --no-auth configuration to make sure you can access your application.
  • MCP Inspector: If you want to test without ChatGPT, you can use MCP Inspector (a debugging tool) for MCP servers to validate to make sure your MCP application is properly configured.

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Additional Resources