How to integrate Cloudcart MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Cloudcart to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Cloudcart agent that can add three t-shirts to a customer’s cart, create a new product called summer mug, register a new customer with email and name, create a variant for the classic hoodie product through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Cloudcart account through Composio's Cloudcart 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 Cloudcart
  • Configure an AI agent that can use Cloudcart as a tool
  • Run a live chat session where you can ask the agent to perform Cloudcart 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 Cloudcart MCP server, and what's possible with it?

The Cloudcart MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cloudcart account. It provides structured and secure access to your online store, so your agent can perform actions like managing products, handling customer accounts, processing orders, and organizing categories on your behalf.

  • Product and inventory management: Add new products, create variants, and update your store catalog efficiently through your agent.
  • Customer onboarding and management: Register new customers or update existing profiles, enabling seamless customer experiences directly from your agent.
  • Order processing and cart handling: Let your agent create new orders, add items to carts, or clear carts to streamline the purchase flow.
  • Category and vendor organization: Create new product categories or onboard vendors, keeping your store organized and expanding easily.
  • Variant configuration and customization: Add or update product variants and their parameters, allowing your agent to manage different product options and custom attributes.

Supported Tools & Triggers

Tools
Add to CartTool to add an item to the cart.
Clear CartTool to remove all items from the specified cart.
Create CategoryTool to create a new category.
Create CustomerTool to create a new customer in cloudcart.
Create OrderTool to create a new order.
Create ProductTool to create a new product.
Create VariantTool to create a new product variant for a given product.
Create Variant OptionTool to create a new variant option for a specific product variant.
Create Variant ParameterTool to create a new variant parameter for a product variant.
Create VendorTool to create a new vendor via cloudcart api.
Delete CategoryTool to delete a category by its id.
Delete CustomerTool to delete a customer.
Delete OrderTool to delete an order.
Delete ProductTool to delete a product by its id.
Delete VendorTool to delete a vendor by its id.
Get CartTool to retrieve the current shopping cart.
Get CategoriesTool to retrieve a list of all categories.
Get CustomersTool to retrieve a list of all customers.
Get OrdersTool to retrieve a list of all orders.
Get Payment MethodsTool to retrieve all available payment methods.
Get ProductsTool to retrieve a list of products with optional filters.
Get Product With RelationsTool to retrieve a product with related entities.
Get Property Options RelationshipTool to retrieve property options relationship for a product.
Get Shipping MethodsTool to retrieve all available shipping methods.
Get VendorTool to retrieve details of a specific vendor.
List Order PaymentTool to retrieve a list of order payments.
List VendorsTool to retrieve a list of all vendors.
Remove from CartTool to remove an item from the cart.
Update Cart ItemTool to update the quantity of an item in the cart.
Update CategoryTool to update an existing category.
Update CustomerTool to update an existing customer.
Update OrderTool to update an existing order.
Update ProductTool to update an existing product's details.
Update VendorTool to update an existing vendor.

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 Cloudcart 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 Cloudcart.

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 Cloudcart Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["cloudcart"]
)

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 cloudcart.
  • The router checks the user's Cloudcart connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Cloudcart.
  • This approach keeps things lightweight and lets the agent request Cloudcart 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 Cloudcart. "
        "Help users perform Cloudcart 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 Cloudcart 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 Cloudcart 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 Cloudcart.
  • 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 Cloudcart 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=["cloudcart"]
)
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 Cloudcart. "
        "Help users perform Cloudcart 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 Cloudcart MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Cloudcart.

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 Cloudcart MCP Agent with another framework

Claude Agent SDK

Claude Agent SDK

Use Cloudcart MCP with Claude Agent SDK

Google ADK

Google ADK

Use Cloudcart MCP with Google ADK

LangChain

LangChain

Use Cloudcart MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Cloudcart MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Cloudcart MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Cloudcart MCP with LlamaIndex

CrewAI

CrewAI

Use Cloudcart MCP with CrewAI

FAQ

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

With a standalone Cloudcart MCP server, the agents and LLMs can only access a fixed set of Cloudcart tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cloudcart 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 Cloudcart tools.

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

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

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