How to integrate Starshipit MCP with Claude Agent SDK

This guide walks you through connecting Starshipit to the Claude Agent SDK 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 Claude Agent SDK 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.

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Introduction

This guide walks you through connecting Starshipit to the Claude Agent SDK 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 Claude Agent SDK 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:
  • Get and set up your Claude/Anthropic and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Starshipit
  • Configure an AI agent that can use Starshipit as a tool
  • Run a live chat session where you can ask the agent to perform Starshipit operations

What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.

Key features include:

  • Native MCP Support: Built-in support for Model Context Protocol servers
  • Permission Modes: Control tool execution permissions
  • Streaming Responses: Real-time response streaming for interactive applications
  • Context Manager: Clean async context management for sessions

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:
  • Composio API Key and Claude/Anthropic API Key
  • Primary know-how of Claude Agents SDK
  • A Starshipit account
  • Some knowledge of Python
2

Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
  • Go to the Anthropic Console and create an API key. You'll need credits to use the models.
  • 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

npm install @anthropic-ai/claude-agent-sdk @composio/core dotenv

Install the Composio SDK and the Claude Agents SDK.

What's happening:

  • @composio/core provides Composio integration for Anthropic
  • @anthropic-ai/claude-agent-sdk is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID identifies the user for session management
  • ANTHROPIC_API_KEY authenticates with Anthropic/Claude
5

Import dependencies

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
What's happening:
  • We're importing all necessary libraries including the Claude Agent SDK and Composio
  • The dotenv.config() function loads environment variables from your .env file
  • This setup prepares the foundation for connecting Claude with Starshipit functionality
6

Create a Composio instance and Tool Router session

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });

  // Create Tool Router session for Starshipit
  const session = await composio.create(USER_ID, {
    toolkits: ['starshipit'],
  });
  const mcpUrl = session?.mcp.url;
What's happening:
  • The function checks for the required COMPOSIO_API_KEY environment variable
  • We're creating a Composio instance using our API key
  • The create method creates a Tool Router session for Starshipit
  • The returned url is the MCP server URL that your agent will use
7

Configure Claude Agent with MCP

const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to Starshipit tools via Composio.',
  maxTurns: 10,
};
What's happening:
  • We're configuring the Claude Agent options with the MCP server URL
  • permissionMode: 'bypassPermissions' allows the agent to execute operations without asking for permission each time
  • The system prompt instructs the agent that it has access to Starshipit
  • maxTurns: 10 limits the conversation length to prevent excessive API usage
8

Create client and start chat loop

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
What's happening:
  • The readline interface is created to handle user input and output
  • The query function is used to send the user's input to the agent
  • The chat loop continues until the user types 'exit' or 'quit'
9

Run the application

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
What's happening:
  • The chat function is the entry point for the application
  • The try-catch block is used to handle any errors that occur

Complete Code

Here's the complete code to get you started with Starshipit and Claude Agent SDK:

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['starshipit']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to Starshipit tools via Composio.',
    maxTurns: 10,
  };

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}

Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Starshipit through Composio's Tool Router.

Key features:

  • Native MCP support through Claude's agent framework
  • Streaming responses for real-time interaction
  • Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
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

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OpenAI Agents SDK

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Claude Code logo

Claude Code

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Claude Cowork

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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

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Vercel AI SDK logo

Vercel AI SDK

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Mastra AI logo

Mastra AI

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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. Claude Agent 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 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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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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