How to Use the Shipday MCP in LangChain

Q: How does Shipday and LangChain handle tracking updates?

You simply call gettrackingprogress within your chain. The agent uses the returned data—like the current location or status—to make its next decision, whether that's alerting a manager or updating the order record.

Q: What if I need to check multiple orders with Shipday and LangChain?

You can run listactiveorders first. This gives you a batch list of IDs, which you then loop through using getorder for each one. The chain executes this sequence automatically.

Q: Can I cancel an order and track the result with Shipday and LangChain?

Yes. You start by calling deleteorder. Following that, you can use getorder immediately after to confirm the cancellation status was correctly applied in the system.

Q: Does Shipday and LangChain support updating order statuses?

Absolutely. The updateorderstatus tool lets your agent change an order's state, like moving it from 'Picked Up' to 'On Route'. This is a core function for operational workflows.

Q: What data does Shipday and LangChain handle regarding privacy?

This server manages customer details when you use createorder and specific order information via getorder. Always treat this PII with care within your agents.

Build multi-step Shipday workflows and complex agents using LangChain.

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…and any MCP-compatible client

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Connect Shipday MCP to LangChain

Create your Vinkius account to connect Shipday to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Shipday with LangChain

Ask AI about this MCP

ChatGPT

Claude

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Gemini

Grok

Orchestrate full order lifecycle management.

You can build a chain that first uses `get_order` to grab details, then calls `assign_driver`, and finally executes `update_order_status`. The agent decides the sequence based on inputs. This lets your AI client handle complex scenarios. For example, if an order status changes from 'Awaiting Dispatch' using `list_active_orders`, it can immediately trigger a driver assignment via `assign_driver`.

Process and validate multiple carrier orders.

The agent needs to know the specifics of an order. It first calls `get_carrier_order` to retrieve external data. Then, it can use that output to populate a new record by calling `create_order`. This two-step process handles cross-system validation. It's ideal for agents needing external context before acting. You’ll see this in multi-step reasoning chains where one tool feeds critical information into the next.

Manage and list all available delivery staff.

Want to know who's working? Use `list_drivers` to get a full roster. This output can then feed directly into an assignment function, like calling `assign_driver`. The agent manages the handoff of data. This pattern is key for complex task flows. Instead of just fetching lists, you pass that list through another tool's input parameter to make decisions.

Setup guide

Set up Shipday MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Shipday tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "shipday-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Shipday transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Shipday. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Shipday MCP in LangChain

You simply call `get_tracking_progress` within your chain. The agent uses the returned data—like the current location or status—to make its next decision, whether that's alerting a manager or updating the order record.

You can run `list_active_orders` first. This gives you a batch list of IDs, which you then loop through using `get_order` for each one. The chain executes this sequence automatically.

Yes. You start by calling `delete_order`. Following that, you can use `get_order` immediately after to confirm the cancellation status was correctly applied in the system.

Absolutely. The `update_order_status` tool lets your agent change an order's state, like moving it from 'Picked Up' to 'On Route'. This is a core function for operational workflows.

This server manages customer details when you use `create_order` and specific order information via `get_order`. Always treat this PII with care within your agents.

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