How to Use the KDniao MCP in OpenAI Agents SDK

Q: How do I connect KDniao to the OpenAI Agents SDK?

Initialize MCPServerStreamableHttp with your Vinkius endpoint. Pass that into the mcpservers array when building your agent. The SDK handles tool discovery automatically.

Connect KDniao to the OpenAI Agents SDK to automate Chinese logistics routing, waybill generation, and tracking with built-in guardrails.

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Connect KDniao MCP to OpenAI Agents SDK

Create your Vinkius account to connect KDniao to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup KDniao with OpenAI Agents SDK

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Perplexity

Automated carrier routing via MCP Server

The `identify_carrier` tool reads raw tracking numbers and instantly maps them to the correct Chinese logistics provider. Your OpenAI agent then feeds that data into `query_shipping_price` to fetch exact shipping estimates before committing to a dispatch. You get full tracing in the OpenAI dashboard for every API call. If an agent tries to route a package through an unsupported carrier, the built-in guardrails block the execution before it hits the KDniao endpoint.

Generate electronic waybills and schedule pickups

The `create_electronic_waybill` tool takes a JSON payload of sender and receiver details to instantly generate shipping labels. Once the waybill exists, your agent can trigger `preorder_pickup` to schedule a future courier visit or `onsite_pickup` for immediate dispatch. Handoffs between specialized agents handle the complexity here. You can build one agent dedicated to waybill generation, which then passes the context to a dispatch agent that manages the pickup scheduling queue.

Real-time package monitoring

The `track_package` tool polls the KDniao API for the latest status of any active shipment. For asynchronous monitoring, your agent sets up a webhook using `subscribe_tracking` to receive push notifications when a package moves. You can also pull ETA data using `get_estimated_arrival`. Setting `cacheToolsList=True` in your MCP server configuration keeps the tool discovery fast, so the agent does not waste time re-reading the schema on every tracking request.

Setup guide

Set up KDniao MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all KDniao tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives KDniao tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate KDniao tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="KDniao Agent",
            instructions="You have access to KDniao tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by KDniao. 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 KDniao MCP in OpenAI Agents SDK

Initialize `MCPServerStreamableHttp` with your Vinkius endpoint. Pass that into the `mcp_servers` array when building your agent. The SDK handles tool discovery automatically.

You need to store the actual tracking statuses from KDniao in your own database. Right. The SDK caches the MCP tool definitions, not the API responses.

Yes. You define safety constraints around the tools. The agent validates inputs before executing the waybill generation tool to prevent malformed requests.

The API returns an error code to the agent. You can configure your agent to catch this exception and automatically retry or alert a human operator.

Waybill generation requires Name, Mobile, ProvinceName, CityName, ExpAreaName, and Address data. The Vinkius V8 Isolate Sandbox processes this payload entirely in memory. Once the KDniao API responds, the sandbox shuts down and purges the data.

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