How to integrate Order Desk MCP with OpenAI Agents SDK

This guide walks you through connecting Order Desk to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Order Desk agent that can look up orders, add order items, create shipments, add order notes, and manage your inventory through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Order Desk account through Composio's Order Desk MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Order Desk logoOrder Desk
Api Key

Order Desk is an order management platform for ecommerce orders, shipments, inventory, and store data. It helps teams centralize fulfillment workflows across multiple ecommerce integrations.

20 Tools

Introduction

This guide walks you through connecting Order Desk to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Order Desk agent that can look up orders, add order items, create shipments, add order notes, and manage your inventory through natural language commands.

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

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

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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 Order Desk
  • Configure an AI agent that can use Order Desk as a tool
  • Run a live chat session where you can ask the agent to perform Order Desk operations

What is OpenAI 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 Order Desk MCP server, and what's possible with it?

The Order Desk MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Order Desk account. It provides structured and secure access to your orders, shipments, inventory, and store data, so your agent can find orders, manage line items, track shipments, update inventory, and organize orders on your behalf.

  • Order search and review: Have your agent find matching orders and retrieve their addresses, items, shipments, notes, discounts, and other details.
  • Order item management: Let the agent list, add, update, or remove line items from an existing order.
  • Shipment management: Direct your agent to create shipment records, review an order's shipments, update shipment details, or remove incorrect records.
  • Inventory management: Instruct your agent to search, create, review, update, or delete inventory items using details such as SKU, name, location, or update time.
  • Order organization and store context: Have your agent add permanent history notes, move orders into the right folder, and review store settings such as locale, timezone, and folder names.

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Order Desk project
  • Some knowledge of Python or Typescript
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
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

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.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
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 Order Desk.
6

Set up the Composio instance

dotenv.config();

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

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Order Desk
const session = await composio.create(userId as string, {
  toolkits: ['order_desk'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only order_desk.
  • The router checks the user's Order Desk connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Order Desk.
  • This approach keeps things lightweight and lets the agent request Order Desk tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Order Desk. Help users perform Order Desk operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: '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 Order Desk 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 object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Order Desk operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

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

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

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

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

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

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Order Desk.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Order Desk and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

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

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['order_desk'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Order Desk. Help users perform Order Desk operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

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

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

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

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

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

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\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

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

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.
TOOLS

Supported Tools

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

Add Order History Note

Append a timestamped note permanently to an existing order's history.

Add Order Item

Add one line item to an existing order.

Add Order Items

Add two to 10 line items sequentially to the same order and return a result for every processed item.

Create Inventory Item

Create one inventory item with a unique SKU and return its positive Order Desk ID and complete created representation.

Create Inventory Items

Create two to 10 inventory items sequentially and return each created ID or error.

Create Shipments

Create one or more shipment records across orders in one request and report the success or error returned for every shipment.

Delete Inventory Item

Permanently delete one inventory item by its positive Order Desk ID.

Delete Order Item

Permanently remove one line item from an order.

Delete Shipment

Permanently remove one shipment record from an order.

Get Inventory Item

Get one inventory item by its positive Order Desk ID.

Get Order

Get one order and its addresses, line items, shipments, metadata, notes, and discounts by Order Desk internal ID.

Get Store Metadata

Return safe store identity, locale, timezone, page-size settings, and folder IDs and names without exposing credentials or email configuration.

List Inventory Items

Search inventory items in the connected store by ID, SKU, name, metadata, manufacturer SKU, location, or update time.

List Order Items

Return all line items for one order.

List Orders

Find orders in the connected store using at least one narrowing filter and return one bounded page.

List Order Shipments

Return all shipments recorded for one order.

Move Orders

Move one or more orders to exactly one destination folder selected by positive ID or exact name, with a result for every order.

Update Inventory Items

Safely update selected fields on one or more inventory items while preserving every omitted field.

Update Order Item

Safely update selected fields on one order line item while preserving every omitted field.

Update Shipment

Safely update selected fields on one shipment while preserving every omitted field.

FAQ

Frequently asked questions

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

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 Order Desk tools.

Yes, absolutely. You can configure which Order Desk 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 Order Desk data and credentials are handled as safely as possible.

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