How to integrate Starshipit MCP with Autogen

This guide walks you through connecting Starshipit to AutoGen 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 AutoGen 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 AutoGen 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 AutoGen 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.

Also integrate Starshipit with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Starshipit
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Starshipit tools
  • Run a live chat loop where you ask the agent to perform Starshipit operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Starshipit account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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 python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Starshipit via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Starshipit connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Starshipit session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["starshipit"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Starshipit tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Starshipit assistant agent with MCP tools
    agent = AssistantAgent(
        name="starshipit_assistant",
        description="An AI assistant that helps with Starshipit operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Starshipit tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Starshipit related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Starshipit tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Starshipit and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Starshipit session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["starshipit"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Starshipit assistant agent with MCP tools
        agent = AssistantAgent(
            name="starshipit_assistant",
            description="An AI assistant that helps with Starshipit operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Starshipit related question or task to the agent.\n")

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Starshipit through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Starshipit, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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

Mastra AI logo

Mastra AI

Use Starshipit MCP with Mastra AI

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. Autogen 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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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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