How to integrate Order Desk MCP with CrewAI

This guide walks you through connecting Order Desk to CrewAI 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 CrewAI 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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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 CrewAI 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 CrewAI 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.

Also integrate Order Desk with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Order Desk connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Order Desk
  • Build a conversational loop where your agent can execute Order Desk operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Order Desk connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Order Desk via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Order Desk MCP URL
6

Create a Composio Tool Router session for Order Desk

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["order_desk"])

url = session.mcp.url
What's happening:
  • You create a Order Desk only session through Composio
  • Composio returns an MCP HTTP URL that exposes Order Desk tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Order Desk and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["order_desk"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Order Desk through Composio's Tool Router. The agent can perform Order Desk operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
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.

FRAMEWORKS

How to build Order Desk MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Order Desk MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Order Desk MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Order Desk MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Order Desk MCP with Claude Cowork

Codex logo

Codex

Use Order Desk MCP with Codex

OpenClaw logo

OpenClaw

Use Order Desk MCP with OpenClaw

Hermes logo

Hermes

Use Order Desk MCP with Hermes

CLI logo

CLI

Use Order Desk MCP with CLI

Google ADK logo

Google ADK

Use Order Desk MCP with Google ADK

LangChain logo

LangChain

Use Order Desk MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Order Desk MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Order Desk MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Order Desk MCP with LlamaIndex

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. CrewAI 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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