How do I get DPD API credentials?

You must be a contracted DPD client. Contact your local DPD account manager to request API access and credentials.

Which regions are supported?

This server supports DPD global REST APIs. Regional differences are handled by providing the appropriate Base URL for your region.

Can I cancel a shipment?

Yes, you can cancel a shipment using its ID as long as it hasn't been picked up or processed beyond a certain stage.

INSTANT PLUG AND PLAY

DPD MCP Server for CrewAIGive CrewAI instant access to 10 tools to Cancel Shipment, Create Shipment, Find Parcelshop, and more

Name: DPD
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to DPD through Vinkius, pass the Edge URL in the `mcps` parameter and every DPD tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The DPD app connector for CrewAI is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="DPD Specialist",
    goal="Help users interact with DPD effectively",
    backstory=(
        "You are an expert at leveraging DPD tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in DPD "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About DPD MCP Server

This MCP server integrates DPD services, allowing you to create shipments, track parcel statuses, and find nearby pickup points. It's designed for businesses that need to automate their shipping workflows efficiently.

When paired with CrewAI, DPD becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call DPD tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

The DPD MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 DPD tools available for CrewAI

When CrewAI connects to DPD through Vinkius, your AI agent gets direct access to every tool listed below — spanning DPD, Shipping, Logistics, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_shipment

Cancel an existing DPD shipment

create_shipment

Provide shipment data as a JSON string. Create a new shipment and generate parcel numbers/labels

find_parcelshop

Search for DPD Pickup points (ParcelShops) near a location

get_labels

Retrieve the labels for a specific shipment

get_manifest

Generate or retrieve a manifest for a shipment

get_parcel_status

Retrieve the tracking status for a specific parcel number

get_shipment_status

Get the current status and tracking history of a shipment

list_countries

List supported countries for DPD shipping

list_products

List available DPD products and services

list_shipments

Supports filtering by date or status. Provide filters as a JSON string. List recent shipments

Connect DPD to CrewAI via MCP

Follow these steps to wire DPD into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from DPD

Why Use CrewAI with the DPD MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with DPD through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

DPD + CrewAI Use Cases

Practical scenarios where CrewAI combined with the DPD MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries DPD for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries DPD, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain DPD tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries DPD against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for DPD in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with DPD immediately.

"Check the status of parcel 123456789."

"Find DPD pickup points in Berlin."

"Create a shipment from London to Paris."

Troubleshooting DPD MCP Server with CrewAI

Common issues when connecting DPD to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

DPD + CrewAI FAQ

Common questions about integrating DPD MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.