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 OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: KDniao
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect KDniao through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="KDniao Assistant",
            instructions=(
                "You help users interact with KDniao. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from KDniao"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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.

The OpenAI Agents SDK auto-discovers all 8 tools from KDniao through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries KDniao, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the KDniao MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from KDniao

Why Use OpenAI Agents SDK with the KDniao MCP Server

OpenAI Agents SDK provides unique advantages when paired with KDniao through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

KDniao + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the KDniao MCP Server delivers measurable value.

Automated workflows: build agents that query KDniao, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries KDniao, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through KDniao tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query KDniao to resolve tickets, look up records, and update statuses without human intervention

KDniao MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect KDniao to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting KDniao to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

KDniao + OpenAI Agents SDK FAQ

Common questions about integrating KDniao MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.