How to Use the DPD MCP in Google ADK
Connect Gemini models to DPD via Google ADK to automate logistics directly from your enterprise database.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DPD MCP to Google ADK
Create your Vinkius account to connect DPD to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Book DPD shipments directly from Google ADK.
`create_shipment` executes booking requests directly from your Google ADK agent using structured data from your database. The agent reads pending orders from BigQuery and formats them into JSON payloads to generate parcel numbers instantly. Once booked, the agent retrieves the physical shipping documents using `get_labels`. This removes the need for external MCP integration platforms to bridge your cloud database and your warehouse.
Run automated tracking audits.
`get_shipment_status` allows your Gemini-powered agent to audit your entire delivery pipeline. The agent pulls tracking histories for thousands of active shipments and flags delays before customers notice. For individual parcel escalations, the agent uses `get_parcel_status` to pinpoint the exact transit checkpoint. You can pipe these status updates back into Vertex AI to predict delivery anomalies.
Validate global DPD coverage.
`list_countries` lets your enterprise agent verify destination compatibility during checkout. The agent cross-references this list with your product catalog to block invalid international orders. To optimize delivery options, the agent queries `list_products` to select between standard and express shipping tiers. This ensures your Google ADK MCP workflow selects the most cost-effective service for every parcel.
Set up DPD MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with DPD tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="DPD_agent",
model="gemini-2.0-flash",
instruction="You have access to DPD tools via MCP.",
tools=mcp_tools,
) 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.
Why Choose Vinkius
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Real-time monitoring
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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One
place for every integration
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Common questions about DPD MCP in Google ADK
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