How to integrate Starshipit MCP with Mastra AI

This guide walks you through connecting Starshipit to Mastra AI using the Composio tool router. By the end, you'll have a working Starshipit agent that can create your orders, compare shipping rates, create labels, track parcels, and manage manifests through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Starshipit account through Composio's Starshipit MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Starshipit is a shipping and fulfilment platform for ecommerce orders, labels, tracking, and warehouse operations. It helps teams automate delivery workflows across carriers and sales channels.

15 Tools

Introduction

This guide walks you through connecting Starshipit to Mastra AI using the Composio tool router. By the end, you'll have a working Starshipit agent that can create your orders, compare shipping rates, create labels, track parcels, and manage manifests through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Starshipit account through Composio's Starshipit 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:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Starshipit tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Starshipit 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 Starshipit 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 Starshipit MCP server, and what's possible with it?

The Starshipit MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Starshipit account. It provides structured and secure access to your orders, shipments, tracking, inventory, and warehouse data, so your agent can create orders, quote shipping rates, generate labels, track deliveries, and review fulfilment performance on your behalf.

  • Order creation and management: Have your agent create unshipped orders, find existing orders, update editable order details, and review orders waiting for fulfilment.
  • Shipping rates and labels: Let the agent compare available shipping services and prices, then generate labels for one order or multiple orders.
  • Tracking and manifests: Direct your agent to check shipment statuses and carrier events, create finalized manifest documents, or review recent manifests.
  • Inventory and product visibility: Instruct your agent to search the product catalogue and review warehouse stock, reserved quantities, and available inventory by product or location.
  • Warehouse performance insights: Have your agent report on recent order cycle times and fulfilment SLA performance across the past 1 to 90 days.

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

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 Starshipit through MCP.
3

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
4

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
5

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
6

Create a Tool Router session for Starshipit

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

  const composioMCPUrl = session.mcp.url;
  console.log("Starshipit MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "starshipit" for Starshipit access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

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 Starshipit toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "starshipit-mastra-agent",
    instructions: "You are an AI agent with Starshipit 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
9

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: {
        starshipit: 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 Starshipit 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 Starshipit 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: ["starshipit"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "starshipit-mastra-agent",
    instructions: "You are an AI agent with Starshipit 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: { starshipit: 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 Starshipit 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
TOOLS

Supported Tools

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

Create Manifest

Create and finalize a Starshipit manifest PDF for only the explicitly listed shipments.

Create Order

Create one unshipped Starshipit order with destination, line items, packages, sender, and customs details.

Create Shipping Label

Create shipping labels for one Starshipit order.

Create Shipping Labels

Create shipping labels for multiple existing Starshipit orders in one irreversible batch.

Get Order

Retrieve one order by its Starshipit numeric ID or source-platform order number.

Get Shipping Rates

Quote available Starshipit shipping services and prices for a destination and one or more packages.

Get Tracking

Get current shipment status and carrier tracking events by tracking number or order number.

Get WMS Performance

Return Starshipit WMS order-cycle and SLA performance metrics for the previous 1 to 90 days.

List Manifests

Return one page of manifests in reverse chronological order.

List Products

Search and page through the Starshipit product catalogue with optional sorting.

List Tags

Return one page of user-defined order tags, optionally filtered by tag name.

List Unshipped Orders

Return one page of unshipped orders, optionally limited to orders created or updated after a UTC timestamp.

List WMS Inventory

Return one page of Starshipit WMS inventory grouped by product or location, including stock, reservation, and availability quantities.

Search Orders

Search orders by a phrase and optional field, status, or child-account inclusion filter.

Update Order

Update editable fields on one Starshipit order identified by order_id or order_number.

FRAMEWORKS

How to build Starshipit MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Starshipit MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Starshipit MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Starshipit MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Starshipit MCP with Claude Cowork

Codex logo

Codex

Use Starshipit MCP with Codex

OpenClaw logo

OpenClaw

Use Starshipit MCP with OpenClaw

Hermes logo

Hermes

Use Starshipit MCP with Hermes

CLI logo

CLI

Use Starshipit MCP with CLI

Google ADK logo

Google ADK

Use Starshipit MCP with Google ADK

LangChain logo

LangChain

Use Starshipit MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Starshipit MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Starshipit MCP with LlamaIndex

CrewAI logo

CrewAI

Use Starshipit MCP with CrewAI

FAQ

Frequently asked questions

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

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 Starshipit tools.

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

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