# How to integrate Shipday MCP with CrewAI ```json { "title": "How to integrate Shipday MCP with CrewAI", "toolkit": "Shipday", "toolkit_slug": "shipday", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/shipday/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/shipday/framework/crew-ai.md", "updated_at": "2026-03-29T06:50:05.119Z" } ``` ## Introduction This guide walks you through connecting Shipday to CrewAI 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 CrewAI 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) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Shipday connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Shipday - Build a conversational loop where your agent can execute Shipday operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## 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 and API key - A Shipday connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to Shipday via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Shipday MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Shipday **What's happening:** - You create a Shipday only session through Composio - Composio returns an MCP HTTP URL that exposes Shipday tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["shipday"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["shipday"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Shipday through Composio's Tool Router. The agent can perform Shipday operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## 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) ## 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 CrewAI? Yes, you can. CrewAI 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)