How to integrate Gorgias MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Gorgias to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Gorgias agent that can create a new support ticket for a customer, add urgent tag to today's open tickets, delete a team that's no longer active, create a new customer profile for recent shopper through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Gorgias account through Composio's Gorgias MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Gorgias
  • Configure an AI agent that can use Gorgias as a tool
  • Run a live chat session where you can ask the agent to perform Gorgias operations

What is open-ai-agents-sdk?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Gorgias MCP server, and what's possible with it?

The Gorgias MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gorgias account. It provides structured and secure access to your helpdesk workspace, so your agent can perform actions like managing tickets, creating customers, tagging conversations, and organizing support teams on your behalf.

  • Automated ticket management: Instantly create, update, or delete support tickets to streamline customer interactions and resolve issues faster.
  • Customer profile control: Add new customers, update their details, or remove outdated accounts directly from your helpdesk—no manual entry required.
  • Tagging and ticket organization: Effortlessly assign or remove tags on tickets so your support requests stay organized by priority, topic, or workflow.
  • Team management: Create or delete support teams, letting your agent help restructure teams as your business grows or shifts focus.
  • Bulk customer actions: Perform batch operations like deleting multiple customers or specific field values, making mass updates and data hygiene a breeze.

Supported Tools & Triggers

Tools
Add Ticket TagsAdds tags to a ticket in gorgias.
Create Account SettingCreates a new account setting in gorgias.
Create CustomerCreates a new customer in gorgias.
Create TeamCreates a new team in gorgias.
Create TicketCreates a new ticket in gorgias.
Delete CustomerDeletes a specific customer from gorgias.
Delete Customer Field ValueDeletes a specific field value for a customer in gorgias.
Delete CustomersDeletes multiple customers from gorgias.
Delete TeamDeletes a specific team from gorgias.
Delete TicketDeletes a specific ticket from gorgias.
Delete Ticket Field ValueDeletes a specific field value for a ticket in gorgias.
Get AccountRetrieves your gorgias account information.
Get CustomerRetrieves a specific customer from gorgias.
Get EventRetrieves a specific event from gorgias.
Get TeamRetrieves a specific team from gorgias.
Get TicketRetrieves a specific ticket from gorgias.
List Account SettingsLists all account settings in gorgias.
List Customer Field ValuesLists all field values for a customer in gorgias.
List CustomersLists customers in gorgias with various filtering options.
List EventsLists events in gorgias with various filtering options.
List TeamsLists teams in gorgias.
List Ticket Field ValuesLists all field values for a ticket in gorgias.
List TicketsLists tickets in gorgias with various filtering options.
List Ticket TagsLists all tags for a ticket in gorgias.
Merge CustomersMerges two customers in gorgias, combining their data and history.
Remove Ticket TagsRemoves tags from a ticket in gorgias.
Set Customer DataSets the complete data object for a customer in gorgias.
Set Ticket TagsSets the complete list of tags for a ticket in gorgias.
Update Account SettingUpdates an existing account setting in gorgias.
Update CustomerUpdates an existing customer in gorgias.
Update TeamUpdates an existing team in gorgias.
Update TicketUpdates an existing ticket in gorgias.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Gorgias project
  • Some knowledge of Python or Typescript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Gorgias.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Gorgias Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["gorgias"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only gorgias.
  • The router checks the user's Gorgias connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Gorgias.
  • This approach keeps things lightweight and lets the agent request Gorgias tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Gorgias. "
        "Help users perform Gorgias operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Gorgias and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Gorgias operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Gorgias.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Gorgias and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["gorgias"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Gorgias. "
        "Help users perform Gorgias operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Gorgias MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Gorgias.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

How to build Gorgias MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Gorgias MCP?

With a standalone Gorgias MCP server, the agents and LLMs can only access a fixed set of Gorgias tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Gorgias and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Gorgias tools.

Can I manage the permissions and scopes for Gorgias while using Tool Router?

Yes, absolutely. You can configure which Gorgias scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Gorgias data and credentials are handled as safely as possible.

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