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How to Use the KuaiDi100 MCP in Vercel AI SDK

Stream real-time Chinese logistics data directly into your React components with the Vercel AI SDK and KuaiDi100.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect KuaiDi100 MCP to Vercel AI SDK

Create your Vinkius account to connect KuaiDi100 to Vercel AI 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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Stream live delivery maps directly to your UI

Stop making users stare at loading spinners while fetching shipping updates. When you hook this MCP Server to your Vercel AI SDK setup, your agent pulls visual tracking paths using `get_map_tracking` and streams the map coordinates straight to your frontend. The client renders the route coordinates on the fly. No waiting for a massive API payload to resolve before showing the user where their package is stuck.

Instant carrier detection inside Vercel AI SDK chat

Users paste messy tracking numbers, and your app needs to know who is carrying it. This tool lets your agent call `identify_carrier` instantly to figure out if it's SF Express or ZTO, without hardcoding a massive routing table. Once identified, the MCP Server lets the agent automatically switch to `track_package` to pull the latest milestones. It all happens in a single, fluid streaming response that feels instant to the end user.

Live shipping quotes without manual forms

Let your users calculate shipping costs by just chatting with your interface. Your Vercel AI SDK MCP client uses `query_shipping_price` to fetch real-time carrier rates based on dimensions and weight. The agent can then call `estimate_delivery_time` to show the expected delivery window side-by-side. It streams these options directly into a custom UI card, letting users select a carrier and buy a label on the spot.

Setup guide

Set up KuaiDi100 MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all KuaiDi100 tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent KuaiDi100 transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by KuaiDi100. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about KuaiDi100 MCP in Vercel AI SDK

You pass the recipient's phone number directly inside the `track_package` tool call parameters. Your Vercel AI SDK agent handles this argument natively, ensuring SF Express requests don't fail due to missing verification fields.
Yes, you can. The `get_map_tracking` tool returns structured coordinates that the Vercel AI SDK streams directly to your React map components, rendering the route live as the data arrives.
The agent calls `identify_carrier` the moment a user drops a tracking number into the chat. The Vercel AI SDK streams the detected carrier name to the UI before it even starts fetching the actual tracking milestones.
Yes. You can call `submit_shipping_order` to generate e-waybills. The tool returns the printable data, which your agent can present directly in the chat interface.
Vinkius runs this MCP Server in an isolated sandbox, meaning your tracking numbers and recipient phone numbers are never stored. We only pass these details to the carrier API to fetch your logistics updates, then wipe the memory.

Start using the KuaiDi100 MCP today

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Built & Managed by Vinkius 30s setup 8 tools

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