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How to Use the DPD MCP in LangChain

Get raw DPD shipping data and label generation directly inside your LangChain reasoning loops.

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LangChain

Connect DPD MCP to LangChain

Create your Vinkius account to connect DPD to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automate multi-step shipping runs with LangChain

This MCP server exposes direct DPD logistics endpoints so your ReAct agents can handle physical fulfillment without human intervention. Your agent calls `create_shipment` to generate a parcel number, feeds that exact output into `get_labels` to fetch the PDF, and prepares the dispatch queue in a single run. You get full visibility into this tool chain via LangSmith tracing. If `get_labels` fails or latency spikes, you see the exact payload that caused the hold-up, allowing you to debug the logistics pipeline instantly.

Resolve routing exceptions on the fly

This DPD toolset allows your agent to use `get_shipment_status` to pull the precise tracking history when a delivery fails. If the issue is an invalid address, the agent queries `list_countries` to check destination rules before prompting the user for corrections. By chaining these tools, the agent handles exceptions programmatically. It can automatically execute `cancel_shipment` for flagged orders and spin up a replacement parcel without manual database lookups.

Dynamic service selection and shop discovery

Your pipeline queries `list_products` to compare available shipping options based on package weight and destination. Once the agent selects the service, it uses `find_parcelshop` to locate the nearest pickup point for the customer. This removes the guesswork from delivery setup. The agent coordinates the entire selection process, generating a manifest via `get_manifest` to hand over to the warehouse staff.

Setup guide

Set up DPD MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes DPD tool calls through the MCP protocol.

  4. 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({
    "dpd-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 DPD transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DPD. 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 DPD MCP in LangChain

You set your DPD credentials as environment variables on the Vinkius platform. The MCP server handles authentication behind the scenes, so your LangChain code only needs the connection token to run `create_shipment`.
Yes, the agent can call `list_products` to view active shipping options. It then uses that data to select the correct service code before invoking `create_shipment`.
The LangChain adapter routes calls through our managed MCP infrastructure, which buffers requests to prevent hitting DPD API thresholds. If a limit is reached, the agent receives a clear error state to trigger its retry logic.
Every DPD tool call made by your LangChain agent is logged in LangSmith. You can inspect the exact inputs for `get_labels` and tracking outputs from `get_parcel_status` to measure latency.
All recipient addresses, tracking numbers, and manifest details pass through secure V8 isolates. The MCP Server never stores this shipping data, keeping your customer information completely ephemeral.

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