# How to integrate Shipday MCP with Autogen ```json { "title": "How to integrate Shipday MCP with Autogen", "toolkit": "Shipday", "toolkit_slug": "shipday", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/shipday/framework/autogen", "markdown_url": "https://composio.dev/toolkits/shipday/framework/autogen.md", "updated_at": "2026-03-29T06:50:05.119Z" } ``` ## Introduction This guide walks you through connecting Shipday to AutoGen using the Composio tool router. By the end, you'll have a working Shipday agent that can create a new delivery order for a customer, list all active delivery drivers on shift, update the delivery status to completed through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Shipday account through Composio's Shipday MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Shipday with - [OpenAI Agents SDK](https://composio.dev/toolkits/shipday/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/shipday/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/shipday/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/shipday/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/shipday/framework/codex) - [OpenClaw](https://composio.dev/toolkits/shipday/framework/openclaw) - [Hermes](https://composio.dev/toolkits/shipday/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/shipday/framework/cli) - [Google ADK](https://composio.dev/toolkits/shipday/framework/google-adk) - [LangChain](https://composio.dev/toolkits/shipday/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/shipday/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/shipday/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/shipday/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/shipday/framework/crew-ai) ## 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 Shipday - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Shipday tools - Run a live chat loop where you ask the agent to perform Shipday 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 Shipday MCP server, and what's possible with it? The Shipday MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Shipday account. It provides structured and secure access so your agent can perform Shipday operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SHIPDAY_ADD_A_CARRIER` | Add a Carrier | Tool to add a new carrier/driver to the Shipday system with credentials. Use when you need to create a new carrier account with name, email, and phone number. | | `SHIPDAY_CHECK_ON_DEMAND_AVAILABILITY` | Check On-Demand Delivery Availability | Tool to check on-demand delivery availability from third-party service providers. Use when you need to verify service availability, pricing estimates, and delivery times for a route without creating an order. | | `SHIPDAY_EDIT_DELIVERY_ORDER` | Edit Delivery Order | Tool to edit an existing delivery order in Shipday. Use when you need to update order details such as customer information, restaurant details, order items, delivery fees, or tips. | | `SHIPDAY_GET_ON_DEMAND_ESTIMATE` | Get On-Demand Delivery Estimate | Tool to get on-demand delivery estimates from third-party service providers for a specific order. Use when you need to retrieve pricing, pickup/delivery times, and durations for a delivery order. | | `SHIPDAY_GET_ON_DEMAND_DELIVERY_SERVICES` | Get On-Demand Delivery Services | Tool to retrieve available third-party on-demand delivery service providers. Use when you need to check which delivery services are available or enabled for the account. | | `SHIPDAY_INSERT_ORDER` | Insert Order | Tool to create a new delivery order in Shipday. Use when you need to insert a delivery order with customer details, restaurant information, order items, and delivery schedule. | | `SHIPDAY_ORDER_READY_TO_PICKUP` | Order Ready to Pickup | Tool to mark a delivery order as ready for pickup. Use when you need to notify Shipday that an order is prepared and ready for driver pickup at a specific time. | | `SHIPDAY_ORDERS_QUERY` | Orders Query | Tool to query delivery orders with filters and pagination. Use when you need to retrieve multiple orders within a specific time range or paginate through order results. ACTIVE orders are those which are neither ALREADY_DELIVERED nor FAILED_DELIVERY nor INCOMPLETE. | | `SHIPDAY_QUERY_DELIVERY_ORDERS` | Query Delivery Orders | Tool to query delivery orders with time-based filters and cursor pagination. Use when you need to retrieve multiple orders within a specific time range or paginate through order results. | | `SHIPDAY_RETRIEVE_ACTIVE_ORDERS` | Retrieve Active Orders | Tool to retrieve all active delivery orders from Shipday system. Use when you need to get currently active orders (excludes ALREADY_DELIVERED, FAILED_DELIVERY, and INCOMPLETE orders). Returns at most 100 orders at a time. | | `SHIPDAY_RETRIEVE_CARRIERS` | Retrieve Carriers | Tool to retrieve all carriers/drivers with profile and status details. Use when you need to get a list of all carriers in the system. | | `SHIPDAY_RETRIEVE_ORDER_DETAILS` | Retrieve Order Details | Tool to retrieve detailed information for a specific delivery order by order number. Use when you need to get comprehensive order details including customer info, restaurant info, carrier assignment, cost breakdown, order items, status, and tracking information. | | `SHIPDAY_UNASSIGN_ORDER_FROM_DRIVER` | Unassign Order from Driver | Tool to remove driver assignment from a delivery order. Use when you need to unassign a driver from an order to make it available for reassignment to a different driver. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Shipday MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Shipday. Instead of manually wiring Shipday APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Shipday account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Shipday via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables 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 Shipday connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Shipday tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```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 Shipday session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["shipday"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen 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 ```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")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Shipday tools from the workbench ```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 Shipday assistant agent with MCP tools agent = AssistantAgent( name="shipday_assistant", description="An AI assistant that helps with Shipday operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Shipday 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 ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Shipday 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") ``` ## Complete Code ```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 Shipday session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["shipday"] ) 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 Shipday assistant agent with MCP tools agent = AssistantAgent( name="shipday_assistant", description="An AI assistant that helps with Shipday 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 Shipday 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 Shipday 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 Shipday, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Shipday MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/shipday/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/shipday/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/shipday/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/shipday/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/shipday/framework/codex) - [OpenClaw](https://composio.dev/toolkits/shipday/framework/openclaw) - [Hermes](https://composio.dev/toolkits/shipday/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/shipday/framework/cli) - [Google ADK](https://composio.dev/toolkits/shipday/framework/google-adk) - [LangChain](https://composio.dev/toolkits/shipday/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/shipday/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/shipday/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/shipday/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/shipday/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation. - [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. - [Asin data api](https://composio.dev/toolkits/asin_data_api) - Asin data api gives you detailed, real-time product data from Amazon, including price, rank, and reviews. Perfect for e-commerce pros and data-driven marketers who need instant marketplace insights. - [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations. - [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives. - [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Shipday MCP? With a standalone Shipday MCP server, the agents and LLMs can only access a fixed set of Shipday tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Shipday and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Autogen? 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 Shipday tools. ### Can I manage the permissions and scopes for Shipday while using Tool Router? Yes, absolutely. You can configure which Shipday 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 Shipday data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)