# How to integrate Shipday MCP with LangChain

```json
{
  "title": "How to integrate Shipday MCP with LangChain",
  "toolkit": "Shipday",
  "toolkit_slug": "shipday",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/shipday/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/shipday/framework/langchain.md",
  "updated_at": "2026-03-29T06:50:05.119Z"
}
```

## Introduction

This guide walks you through connecting Shipday to LangChain 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 LangChain 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)
- [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
- Connect your Shipday project to Composio
- Create a Tool Router MCP session for Shipday
- Initialize an MCP client and retrieve Shipday tools
- Build a LangChain agent that can interact with Shipday
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## 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

No description provided.

### 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

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Shipday tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. 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
- This approach allows the agent to dynamically load and use Shipday tools as needed
```python
# Create Tool Router session for Shipday
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['shipday']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['shipday']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "shipday-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "shipday-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

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

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

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

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['shipday']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "shipday-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Shipday related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

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

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['shipday']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "shipday-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Shipday related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Conclusion

You've successfully built a LangChain agent that can interact with Shipday through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## 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)
- [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 LangChain?

Yes, you can. LangChain 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)