DPD MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Cancel Shipment, Create Shipment, Find Parcelshop, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect DPD through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The DPD app connector for Pydantic AI 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
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to DPD "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in DPD?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Pydantic AI validates every DPD tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
The DPD MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Pydantic AI
When Pydantic AI 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 an existing DPD shipment
Provide shipment data as a JSON string. Create a new shipment and generate parcel numbers/labels
Search for DPD Pickup points (ParcelShops) near a location
Retrieve the labels for a specific shipment
Generate or retrieve a manifest for a shipment
Retrieve the tracking status for a specific parcel number
Get the current status and tracking history of a shipment
List supported countries for DPD shipping
List available DPD products and services
Supports filtering by date or status. Provide filters as a JSON string. List recent shipments
Connect DPD to Pydantic AI via MCP
Follow these steps to wire DPD into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the DPD MCP Server
Pydantic AI provides unique advantages when paired with DPD through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DPD integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your DPD connection logic from agent behavior for testable, maintainable code
DPD + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the DPD MCP Server delivers measurable value.
Type-safe data pipelines: query DPD with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple DPD tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query DPD and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock DPD responses and write comprehensive agent tests
Example Prompts for DPD in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting DPD to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiDPD + Pydantic AI FAQ
Common questions about integrating DPD MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.