KDniao MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect KDniao through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using KDniao, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vercel AI SDK gives every KDniao tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the KDniao MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from KDniao and passes them to the LLM
Why Use Vercel AI SDK with the KDniao MCP Server
Vercel AI SDK provides unique advantages when paired with KDniao through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same KDniao integration everywhere
Built-in streaming UI primitives let you display KDniao tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
KDniao + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the KDniao MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query KDniao in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate KDniao tools and return structured JSON responses to any frontend
Chatbots with tool use: embed KDniao capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with KDniao through natural language queries
KDniao MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect KDniao to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting KDniao to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKDniao + Vercel AI SDK FAQ
Common questions about integrating KDniao MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect KDniao with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect KDniao to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.