How to Use the Gorgias MCP in OpenAI Agents SDK

Q: How do I connect the Gorgias MCP Server to the OpenAI Agents SDK?

Instantiate the MCPServerStreamableHttp client with your Vinkius server URL and pass it to your agent constructor. The SDK automatically registers all twelve support tools.

Build production support bots that update Gorgias tickets with strict safety rails using the OpenAI Agents SDK.

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Connect Gorgias MCP to OpenAI Agents SDK

Create your Vinkius account to connect Gorgias to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Gorgias with OpenAI Agents SDK

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Perplexity

Safely update Gorgias tickets via OpenAI Agents SDK

OpenAI agents run on safety rails. When your agent decides to write back to a customer, it shouldn't just fire off random text. You can run checks before calling `create_message` to make sure the response matches your brand guidelines. This SDK lets you trace every single execution step on your dashboard. If a ticket gets updated incorrectly through `update_ticket`, you can pinpoint the exact decision step that went sideways.

Orchestrate multi-agent handoffs for complex queues

Stop trying to make one agent do everything. Build one agent that monitors the queue with `list_tickets` and hands off complex billing issues to a specialized agent. That second agent can grab customer details using `get_customer` without losing context. This structure keeps your code clean and your prompt token sizes small. Each agent only gets the tools it needs, which cuts down on model confusion and speeds up runtimes.

Keep customer profiles accurate across systems

When an agent handles a support issue, it often uncovers new customer details like a secondary email or phone number. Instead of leaving that data in the chat logs, this MCP Server lets your agent run `update_customer` to sync the record instantly. You can also spin up new profiles on the fly with `create_customer`. Your support agents will always see the latest details in their Gorgias dashboard when they take over.

Setup guide

Set up Gorgias MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Gorgias tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Gorgias tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Gorgias tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Gorgias Agent",
            instructions="You have access to Gorgias tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gorgias. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Gorgias MCP in OpenAI Agents SDK

Instantiate the `MCPServerStreamableHttp` client with your Vinkius server URL and pass it to your agent constructor. The SDK automatically registers all twelve support tools.

Yes. You control this by setting up specific permissions on the Vinkius platform or filtering tools in your Python code before passing them to the agent.

The Python SDK relies on your configured retry policies. If `list_tickets` hits a rate limit, the client backs off and retries based on your HTTP transport settings.

Absolutely. You can run the server locally or use our hosted zero-trust sandbox. Just point your streamable HTTP parameters to the local port during testing.

All customer support tickets, customer profiles, and message contents pass through a secure, ephemeral V8 isolate sandbox. No support data is stored on Vinkius servers, keeping your customer records private.

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