ChatGPT Desktop | Paradex

ChatGPT Desktop cannot run local programs directly, so you use ngrok to create a tunnel from your local MCP server to a public URL that ChatGPT can connect to.

Complete prerequisites

Follow the Prerequisites guide to install Python, uvx, and get your Paradex private key.

Install ngrok

brew install ngrok   # macOS
# Or download from https://ngrok.com

Start the MCP server

MCP_TRANSPORT=streamable-http MCP_PORT=8080 \
PARADEX_ENVIRONMENT=prod \
PARADEX_ACCOUNT_PRIVATE_KEY=your_private_key_here \
uvx mcp-paradex

Replace your_private_key_here with your actual key.

Open a tunnel

In a second terminal:

ngrok http 8080

Copy the https://xxxx.ngrok-free.app URL from the output.

Connect in ChatGPT

Open ChatGPT Desktop → Settings → Advanced → Developer Mode (enable if not already).
Go to Settings → Connectors → Create.
Paste https://xxxx.ngrok-free.app/mcp.
Click I trust this provider.

Limitation: The tunnel URL changes every time you restart ngrok (free tier). Update the connector URL each session.

Verify it’s working

Ask your AI assistant:

“What markets are available on Paradex?”

If you get a list of trading pairs, you’re connected.

To test trading access, ask:

“Show me my Paradex account summary.”

OpenAI Agents SDK (for developers)

For custom Python apps (not the ChatGPT interface). No remote hosting needed.

pip install openai-agents

import asyncio, os
from agents import Agent, Runner
from agents.mcp import MCPServerStdio
async def main():
    async with MCPServerStdio(
        name="paradex",
        params={
            "command": "uvx",
            "args": ["mcp-paradex"],
            "env": {
                **os.environ,
                "PARADEX_ENVIRONMENT": "prod",
                "PARADEX_ACCOUNT_PRIVATE_KEY": "your_private_key_here",
            },
        },
    ) as server:
        agent = Agent(
            name="Paradex Trader",
            instructions="You are a trading assistant with access to Paradex.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "What are the top markets by volume?")
        print(result.final_output)
asyncio.run(main())