How to integrate Gorgias MCP with LangChain

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Introduction

This guide walks you through connecting Gorgias to LangChain 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agent that can create a new support ticket for a customer, add urgent tag to today's open tickets, delete a team that's no longer active, create a new customer profile for recent shopper through natural language commands.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 LangChain 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
  • Connect your Gorgias project to Composio
  • Create a Tool Router MCP session for Gorgias
  • Initialize an MCP client and retrieve Gorgias tools
  • Build a LangChain agent that can interact with Gorgias
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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  • Customer profile control: Add new customers, update their details, or remove outdated accounts directly from your helpdesk—no manual entry required.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 this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming

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
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install dependencies

pip install composio-langchain langchain-mcp-adapters langchain python-dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • composio-langchain provides Composio integration for LangChain
  • langchain-mcp-adapters enables MCP client connections
  • langchain is the core agent framework
  • python-dotenv loads environment variables

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models

Import dependencies

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Gorgias functionality through MCP

Initialize Composio client

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Gorgias tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

# Create Tool Router session for Gorgias
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['gorgias']
)

url = session.mcp.url
What's happening:
  • We're creating a Tool Router session that gives your agent access to Gorgias tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Gorgias tools as needed

Configure the agent with the MCP URL

client = MultiServerMCPClient({
    "gorgias-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Gorgias MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • get_tools() retrieves all available Gorgias tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model

Set up interactive chat interface

conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Gorgias related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
What's happening:
  • We initialize an empty conversation_history list to maintain context across interactions
  • A while loop continuously accepts user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the ainvoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • We call the main() function using asyncio.run() to start the application

Complete Code

Here's the complete code to get you started with Gorgias and LangChain:

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['gorgias']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "gorgias-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Gorgias related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've successfully built a LangChain agent that can interact with Gorgias through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

How to build Gorgias MCP Agent with another framework

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Vercel AI SDK

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Mastra AI

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Use Gorgias MCP with Mastra AI

LlamaIndex

LlamaIndex

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CrewAI

CrewAI

Use Gorgias MCP with CrewAI

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 LangChain?

Yes, you can. LangChain 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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