How to integrate Shipengine MCP with Autogen

This guide walks you through connecting Shipengine to AutoGen using the Composio tool router. By the end, you'll have a working Shipengine agent that can generate shipping label for new order, track status of outgoing packages, validate customer address before shipping through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Shipengine account through Composio's Shipengine MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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ShipEngine is a shipping API that connects with multiple carriers to manage shipments, labels, and tracking. Streamline your shipping process and reduce manual effort with one unified tool.

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Introduction

This guide walks you through connecting Shipengine to AutoGen using the Composio tool router. By the end, you'll have a working Shipengine agent that can generate shipping label for new order, track status of outgoing packages, validate customer address before shipping through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Shipengine account through Composio's Shipengine MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Shipengine 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 Shipengine
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Shipengine tools
  • Run a live chat loop where you ask the agent to perform Shipengine 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 Shipengine MCP server, and what's possible with it?

The Shipengine MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Shipengine account. It provides structured and secure access to your shipping operations, so your agent can perform actions like generating shipping labels, tracking packages, validating addresses, and managing carrier integrations on your behalf.

  • Automated label creation and management: Instantly generate, purchase, and void shipping labels across multiple carriers, letting your agent streamline fulfillment without manual entry.
  • Real-time package tracking: Ask your agent to track shipments by carrier or tracking number to get up-to-date delivery statuses and shipment histories.
  • Address validation and correction: Have your agent validate and standardize shipment addresses to prevent delivery errors and reduce returns.
  • Carrier rate comparison: Enable your agent to fetch and compare real-time shipping rates from all connected carriers, helping you save on delivery costs.
  • Shipping manifest and batch processing: Let your agent generate manifests or process batches of shipments in a single command, making high-volume shipping fast and efficient.

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 Shipengine 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 Shipengine 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 Shipengine 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 Shipengine session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["shipengine"]
    )
    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 Shipengine 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 Shipengine assistant agent with MCP tools
    agent = AssistantAgent(
        name="shipengine_assistant",
        description="An AI assistant that helps with Shipengine 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 Shipengine 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 Shipengine 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 Shipengine 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 Shipengine 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 Shipengine session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["shipengine"]
    )
    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 Shipengine assistant agent with MCP tools
        agent = AssistantAgent(
            name="shipengine_assistant",
            description="An AI assistant that helps with Shipengine 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 Shipengine 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 Shipengine 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 Shipengine, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Add Tag to Shipment

Tool to add a tag to a shipment for organization and filtering.

Add to Batch

Tool to add shipments or rate IDs to an existing batch.

Cancel Shipment

Tool to cancel a shipment by ID.

Connect LTL Carrier

Tool to connect an LTL carrier account to ShipEngine.

Connect Shipsurance Account

Tool to connect a Shipsurance insurance account to ShipEngine.

Create Account Image

Tool to create a new account image in ShipEngine.

Create Package Type

Tool to create a custom package type definition in ShipEngine.

Create Tag

Tool to create a new tag in ShipEngine.

Create Tag 2

Tool to create a new tag for organizing shipments.

Create Warehouse

Tool to create a new warehouse.

Create Webhook

Tool to create a ShipEngine webhook.

Delete Account Image by ID

Tool to delete a ShipEngine account image by its ID.

Delete Batch

Tool to delete a batch by ID.

Delete Package

Tool to delete a custom package type by ID.

Delete Warehouse

Tool to delete a warehouse from your ShipEngine account.

Delete Webhook

Tool to delete a ShipEngine webhook subscription.

Disconnect Carrier

Tool to disconnect a carrier account from ShipEngine.

Disconnect Shipsurance

Tool to disconnect a Shipsurance insurance account from ShipEngine.

Download File

Tool to download a file from ShipEngine.

Get Account Image by ID

Tool to retrieve account image settings by label image ID.

Get Batch by External ID

Tool to retrieve batch details using an external batch ID.

Get Batch by ID

Tool to retrieve detailed information about a specific batch by its ID.

Get Batch Errors

Tool to retrieve errors that occurred during batch processing.

Get Bulk Rates

Tool to get shipping rates for multiple shipments in a single request.

Get Insurance Balance

Tool to retrieve the current Shipsurance insurance funds balance.

Get LTL Carrier Credential Requirements

Tool to retrieve credential requirements for connecting an LTL carrier.

Get LTL Carrier Features

Tool to retrieve features supported by an LTL carrier.

Get LTL Carrier Options

Tool to list available options/accessorials for an LTL carrier.

Get LTL Carrier Packages

Tool to list available package/handling unit types for an LTL (Less Than Truckload) carrier.

Get LTL Carrier Services

Tool to list available services for an LTL carrier.

Get Package by ID

Tool to get details of a specific custom package type by ID.

Get Shipment by External ID

Tool to retrieve shipment details using an external shipment ID.

Get Shipment by ID

Tool to retrieve a shipment by ID.

Get Shipment Rates

Tool to retrieve shipping rates for an existing shipment.

Get Tracking Information

Tool to retrieve tracking information for a shipment.

Get Warehouse by ID

Tool to retrieve details of a specific warehouse by ID.

Get Webhook by ID

Tool to retrieve details of a specific webhook by ID.

List Account Images

Tool to list all account images.

List Account Settings

Tool to list all account settings for the ShipEngine account.

List Batches (v2)

Tool to list all batches with comprehensive filtering options.

List Carrier Package Types

Tool to list all available package types for a specific carrier.

List Labels (Extended)

Tool to list all shipping labels with comprehensive filtering options.

List LTL Carriers

Tool to list all LTL (Less-Than-Truckload) carrier accounts connected to your ShipEngine account.

List Manifests (Advanced)

Tool to list all manifests with optional filtering by warehouse and carrier.

List Packages

Tool to list all package types.

List Scheduled Pickups

Tool to list all scheduled pickups with optional filters.

List Shipments (v2)

Tool to list all shipments with optional filtering parameters.

List Tags (v2)

Tool to list all tags in your account.

List Warehouses

Tool to list all warehouses.

List Webhook Events

Retrieve a list of available webhook event types supported by ShipEngine.

List Webhooks

Tool to list all webhooks configured on your account.

Parse Address

Tool to parse unstructured address text and extract structured address components.

Process Batch Labels

Tool to process a batch to create and purchase shipping labels for all shipments in the batch.

Remove From Batch

Tool to remove shipments or rate IDs from a batch.

Remove Tag from Shipment

Tool to remove a tag from a shipment.

Start Tracking Package

Tool to subscribe to tracking updates for a package via webhooks.

Stop Tracking Package

Tool to unsubscribe from tracking updates for a package.

Track LTL Shipment

Tool to track an LTL shipment using carrier code and PRO number.

Update Account Image By ID

Tool to update an account image by ID in ShipEngine.

Update LTL Connection

Tool to update LTL carrier connection credentials in ShipEngine.

Update Package Type

Tool to update an existing custom package type definition.

Update Shipment

Tool to update an existing shipment's details.

Update Shipments Tags

Tool to update tags on one or more shipments in bulk.

Update Warehouse

Tool to update an existing warehouse's details and address.

Update Webhook

Tool to update a ShipEngine webhook.

Validate Address

Tool to validate and normalize shipping addresses.

FRAMEWORKS

How to build Shipengine MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Shipengine MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Shipengine MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Shipengine MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Shipengine MCP with Claude Cowork

Codex logo

Codex

Use Shipengine MCP with Codex

OpenClaw logo

OpenClaw

Use Shipengine MCP with OpenClaw

Hermes logo

Hermes

Use Shipengine MCP with Hermes

CLI logo

CLI

Use Shipengine MCP with CLI

Google ADK logo

Google ADK

Use Shipengine MCP with Google ADK

LangChain logo

LangChain

Use Shipengine MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Shipengine MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Shipengine MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Shipengine MCP with LlamaIndex

CrewAI logo

CrewAI

Use Shipengine MCP with CrewAI

FAQ

Frequently asked questions

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

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

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Co-founder, Slashy

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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