How to integrate Gorgias MCP with LangChain

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agent that can create a new support ticket for a customer, add urgent tag to today's open tickets, delete a team that's no longer active through natural language commands.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.

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Gorgias is a helpdesk and live chat platform built for e-commerce brands. It helps automate support, manage orders, and unify customer communication across channels.

32 Tools

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agent that can create a new support ticket for a customer, add urgent tag to today's open tickets, delete a team that's no longer active through natural language commands.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.

Also integrate Gorgias with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

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.

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

What is Composio SDK?

Composio's Composio SDK 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 Composio SDK

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

How the Composio SDK works

The Composio SDK 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

Step by step10 STEPS
1

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
2

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.
3

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters 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/core is the core agent framework
  • dotenv/config loads environment variables
4

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
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Gorgias functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
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
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['gorgias']
    }
);

const 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
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "gorgias-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "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
  • getTools() retrieves all available Gorgias tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept 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 invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['gorgias']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "gorgias-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Gorgias related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

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.
TOOLS

Supported Tools

Every Gorgias action and event your agent gets out of the box.

Add Ticket Tags

Adds tags to a ticket in Gorgias.

Create Account Setting

Creates a new account setting in Gorgias.

Create Customer

Creates a new customer in Gorgias.

Create Team

Creates a new team in Gorgias.

Create Ticket

Creates a new ticket in Gorgias.

Delete Customer

Deletes a specific customer from Gorgias.

Delete Customer Field Value

Deletes a specific field value for a customer in Gorgias.

Delete Customers

Deletes multiple customers from Gorgias.

Delete Team

Deletes a specific team from Gorgias.

Delete Ticket

Deletes a specific ticket from Gorgias.

Delete Ticket Field Value

Deletes a specific field value for a ticket in Gorgias.

Get Account

Retrieves your Gorgias account information.

Get Customer

Retrieves a specific customer from Gorgias.

Get Event

Retrieves a specific event from Gorgias.

Get Team

Retrieves a specific team from Gorgias.

Get Ticket

Retrieves a specific ticket from Gorgias.

List Account Settings

Lists all account settings in Gorgias.

List Customer Field Values

Lists all field values for a customer in Gorgias.

List Customers

Lists customers in Gorgias with various filtering options.

List Events

Lists events in Gorgias with various filtering options.

List Teams

Lists teams in Gorgias.

List Ticket Field Values

Lists all field values for a ticket in Gorgias.

List Tickets

Lists tickets in Gorgias with various filtering options.

List Ticket Tags

Lists all tags for a ticket in Gorgias.

Merge Customers

Merges two customers in Gorgias, combining their data and history.

Remove Ticket Tags

Removes tags from a ticket in Gorgias.

Set Customer Data

Sets the complete data object for a customer in Gorgias.

Set Ticket Tags

Sets the complete list of tags for a ticket in Gorgias.

Update Account Setting

Updates an existing account setting in Gorgias.

Update Customer

Updates an existing customer in Gorgias.

Update Team

Updates an existing team in Gorgias.

Update Ticket

Updates an existing ticket in Gorgias.

FRAMEWORKS

How to build Gorgias MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Gorgias MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Gorgias MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Gorgias MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Gorgias MCP with Claude Cowork

Codex logo

Codex

Use Gorgias MCP with Codex

OpenClaw logo

OpenClaw

Use Gorgias MCP with OpenClaw

Hermes logo

Hermes

Use Gorgias MCP with Hermes

CLI logo

CLI

Use Gorgias MCP with CLI

Google ADK logo

Google ADK

Use Gorgias MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Gorgias MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Gorgias MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Gorgias MCP with LlamaIndex

CrewAI logo

CrewAI

Use Gorgias MCP with CrewAI

FAQ

Frequently asked questions

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.

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.

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.

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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