How to Use the KuaiDi100 MCP in Google ADK
Run enterprise logistics operations inside your Google ADK pipelines with real-time China carrier data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect KuaiDi100 MCP to Google ADK
Create your Vinkius account to connect KuaiDi100 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.
Enterprise Carrier Auto-Discovery
`identify_carrier` detects the carrier from any Chinese tracking number without manual input. Your Gemini models use this tool to route tracking queries to the correct logistics provider instantly. Once identified, `track_package` fetches the active route status from over a thousand carriers. This keeps your BigQuery warehouse updated with fresh delivery milestones without custom integrations. The MCP Server handles the raw API communication.
Map Coordinates and Webhook Subscriptions
`get_map_tracking` pulls coordinate data to trace the shipping route on a map. Your Google ADK agents extract these coordinates to render visual paths for customer support dashboards. To automate alerts, `subscribe_tracking` registers callback URLs for real-time push notifications. This removes the need for constant polling, saving API credits and reducing server load.
Automated Waybill Generation via Google ADK
`submit_shipping_order` creates electronic waybills for print-ready labels directly from your agent. It handles the complete dispatch payload, allowing your enterprise agents to manage warehouse execution. Before generating the label, `query_shipping_price` calculates the estimated cost. Your agent verifies this against `check_carrier_availability` to ensure the carrier supports the route.
Set up KuaiDi100 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 KuaiDi100 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="KuaiDi100_agent",
model="gemini-2.0-flash",
instruction="You have access to KuaiDi100 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 KuaiDi100. 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 KuaiDi100 MCP in Google ADK
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