# How to integrate Shipday MCP with Pydantic AI ```json { "title": "How to integrate Shipday MCP with Pydantic AI", "toolkit": "Shipday", "toolkit_slug": "shipday", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/shipday/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/shipday/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:50:05.119Z" } ``` ## Introduction This guide walks you through connecting Shipday to Pydantic AI 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 Pydantic AI 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: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Shipday - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Shipday workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## 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 agent to Shipday. It provides structured and secure access so your agent can perform Shipday operations on your behalf through a secure, permission-based interface. 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 Before starting, make sure you have: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 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 the required libraries. What's happening: - composio connects your agent to external SaaS tools like Shipday - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Shipday - MCPServerStreamableHTTP connects to the Shipday MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Shipday tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Shipday composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["shipday"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Shipday endpoint - The agent uses GPT-5 to interpret user commands and perform Shipday operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent shipday_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[shipday_mcp], instructions=( "You are a Shipday assistant. Use Shipday tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Shipday API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Shipday.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Shipday composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["shipday"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent shipday_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[shipday_mcp], instructions=( "You are a Shipday assistant. Use Shipday tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Shipday.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Shipday through Composio's Tool Router. With this setup, your agent can perform real Shipday actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Shipday for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## 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 Pydantic AI? Yes, you can. Pydantic 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 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)