How do I find my KDniao EBusinessID and AppKey?

Log in to the [KDniao Portal](https://www.kdniao.com/), go to the 'User Center' or 'API Management' section, and you will find your unique EBusinessID and AppKey for integration.

What is the 'CustomerName' parameter?

For some carriers like Shunfeng (SF) and ZTO, KDniao requires the last 4 digits of the recipient's phone number in the 'CustomerName' field to retrieve tracking data.

Can I query shipping price estimates?

Yes. Use the `query_price` tool with the carrier code, origin city, destination city, and weight to retrieve estimated costs for that specific shipment.

KDniao MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: KDniao
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect KDniao through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 KDniao "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in KDniao?"
    )
    print(result.data)

asyncio.run(main())

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About KDniao MCP Server

Empower your AI agent to orchestrate your logistics and e-commerce operations with KDniao (快递鸟), one of the most reliable logistics tracking APIs in China. By connecting KDniao to your agent, you transform complex shipment monitoring, digital waybill management, and delivery forecasting into a natural conversation. Your agent can instantly track packages across hundreds of carriers, identify shippers from tracking numbers, subscribe to status updates, and even estimate arrival times without you ever needing to navigate the comprehensive KDniao portal. Whether you are conducting a supply chain audit or providing real-time customer support for order deliveries, your agent acts as a professional logistics assistant, keeping your data accurate and your operations efficient.

Pydantic AI validates every KDniao tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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.

What you can do

Comprehensive Tracking — Retrieve real-time status and historical traces for any supported domestic or international package.
Shipper Identification — Automatically identify the most likely shipper company for a given tracking number.
Update Subscriptions — Set up automated push notifications to receive real-time alerts when a package status changes.
Logistic Estimations — Retrieve shipping price estimates and predicted arrival times for specific routes.
Verification Support — Identify carriers that require additional recipient verification (like phone number digits).

The KDniao MCP Server exposes 8 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.

How to Connect KDniao to Pydantic AI via MCP

Follow these steps to integrate the KDniao MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from KDniao with type-safe schemas

Why Use Pydantic AI with the KDniao MCP Server

Pydantic AI provides unique advantages when paired with KDniao 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 KDniao integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your KDniao connection logic from agent behavior for testable, maintainable code

KDniao + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the KDniao MCP Server delivers measurable value.

Type-safe data pipelines: query KDniao with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple KDniao tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query KDniao and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock KDniao responses and write comprehensive agent tests

KDniao MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect KDniao to Pydantic AI via MCP:

create_electronic_waybill

Sender/Receiver must be JSON with Name, Mobile, ProvinceName, CityName, ExpAreaName, Address. Uses RequestType 1007. Create an electronic shipping waybill

get_estimated_arrival

Uses RequestType 8001. Get estimated delivery time

identify_carrier

Uses RequestType 2002. Auto-detect carrier from tracking number

onsite_pickup

Uses RequestType 1801. Request on-site courier pickup

preorder_pickup

Uses RequestType 1001. Schedule a courier pickup

query_shipping_price

Uses RequestType 1003. Get shipping price estimate

subscribe_tracking

Uses RequestType 1008. Subscribe to tracking updates via webhook

track_package

Uses RequestType 1002. Track a package in real-time

Example Prompts for KDniao in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with KDniao immediately.

"Track package 'YTO123456789' using carrier code 'YTO'."

"Identify the shipper for tracking number '7890123456'."

"Estimate arrival time for an SF Express package from Shanghai to Hangzhou."

Troubleshooting KDniao MCP Server with Pydantic AI

Common issues when connecting KDniao to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

KDniao + Pydantic AI FAQ

Common questions about integrating KDniao MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your KDniao MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.