How to integrate Cloudcart MCP with Mastra AI

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Introduction

This guide walks you through connecting Cloudcart to Mastra AI 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 Mastra AI 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:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Cloudcart tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Cloudcart tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Cloudcart agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Cloudcart through MCP.

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_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 your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session

Create a Tool Router session for Cloudcart

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["cloudcart"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Cloudcart MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "cloudcart" for Cloudcart access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Cloudcart toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "cloudcart-mastra-agent",
    instructions: "You are an AI agent with Cloudcart tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

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

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

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;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        cloudcart: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Cloudcart toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Cloudcart and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["cloudcart"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      cloudcart: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "cloudcart-mastra-agent",
    instructions: "You are an AI agent with Cloudcart tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

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

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { cloudcart: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Cloudcart through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows

How to build Cloudcart MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Cloudcart MCP with OpenAI Agents SDK

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

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 Mastra AI?

Yes, you can. Mastra AI 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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