KuaiDi100 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 KuaiDi100 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 KuaiDi100, 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 KuaiDi100 MCP Server
Empower your AI agent to orchestrate your logistics and supply chain operations with KuaiDi100 (快递100), the leading package tracking platform in China. By connecting KuaiDi100 to your agent, you transform complex shipment monitoring and carrier identification into a natural conversation. Your agent can instantly track packages in real-time, identify carriers from tracking numbers, subscribe to delivery updates, and even estimate shipping prices without you ever needing to navigate the comprehensive KuaiDi100 portal. Whether you are managing high-volume e-commerce fulfillment or auditing international shipments, your agent acts as a real-time logistics assistant, keeping your delivery data accurate and your customers informed.
The Vercel AI SDK gives every KuaiDi100 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
- Real-time Tracking — Retrieve current status and complete historical data for any domestic or international package.
- Carrier Identification — Automatically identify the likely carrier for a given tracking number to simplify operations.
- Update Subscriptions — Set up automated webhooks to receive real-time push notifications when a package status changes.
- Price Estimation — Retrieve estimates for shipping costs based on weight and destination across different carriers.
- Mapping & Routing — Access map-ready tracking data to visualize the physical journey of a shipment.
The KuaiDi100 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 KuaiDi100 to Vercel AI SDK via MCP
Follow these steps to integrate the KuaiDi100 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 KuaiDi100 and passes them to the LLM
Why Use Vercel AI SDK with the KuaiDi100 MCP Server
Vercel AI SDK provides unique advantages when paired with KuaiDi100 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 KuaiDi100 integration everywhere
Built-in streaming UI primitives let you display KuaiDi100 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
KuaiDi100 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the KuaiDi100 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query KuaiDi100 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate KuaiDi100 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed KuaiDi100 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with KuaiDi100 through natural language queries
KuaiDi100 MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect KuaiDi100 to Vercel AI SDK via MCP:
check_carrier_availability
Check which carriers serve a route
estimate_delivery_time
Estimate delivery time between locations
get_map_tracking
Get map-based tracking data
identify_carrier
Auto-detect carrier from tracking number
query_shipping_price
Get shipping price estimate
submit_shipping_order
Generates an electronic waybill for printing. Submit a shipping order (e-waybill)
subscribe_tracking
Subscribe to tracking status updates
track_package
Some carriers (e.g., SF Express) require the recipient phone number. Track a package in real-time
Example Prompts for KuaiDi100 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with KuaiDi100 immediately.
"Track my Shunfeng package with number 'SF123456789'."
"Identify which carrier uses number 'YT1234567890'."
"Estimate the shipping cost for a 2kg package from Beijing to Shenzhen."
Troubleshooting KuaiDi100 MCP Server with Vercel AI SDK
Common issues when connecting KuaiDi100 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKuaiDi100 + Vercel AI SDK FAQ
Common questions about integrating KuaiDi100 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 KuaiDi100 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 KuaiDi100 to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.