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QWeather / 和风天气 MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect QWeather / 和风天气 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 QWeather / 和风天气, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
QWeather / 和风天气
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* 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 QWeather / 和风天气 MCP Server

Empower your AI agent to orchestrate your daily planning and environmental monitoring with QWeather (和风天气), the premier commercial weather platform in China. By connecting QWeather to your agent, you transform complex meteorological data and location-based environmental searches into a natural conversation. Your agent can instantly retrieve real-time weather, 15-day forecasts, air quality indices, severe weather warnings, and astronomical data without you ever needing to navigate a technical dashboard. Whether you are planning outdoor operations or auditing air quality across different regions, your agent acts as a real-time environmental consultant, providing accurate and fast results from a single, unified source.

The Vercel AI SDK gives every QWeather / 和风天气 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Weather Orchestration — Retrieve current weather and detailed forecasts (up to 15 days) for any location worldwide.
  • Air Quality Auditing — Monitor real-time AQI, PM2.5, and PM10 levels to ensure safe operating conditions.
  • Life Index Insights — Access specialized indices for UV radiation, clothing recommendations, and car washing suitability.
  • Warning Monitoring — Audit active severe weather warnings to maintain safety and organizational continuity.
  • Geographic Discovery — Search for location IDs and coordinates using keywords to refine your regional tracking.

The QWeather / 和风天气 MCP Server exposes 10 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 QWeather / 和风天气 to Vercel AI SDK via MCP

Follow these steps to integrate the QWeather / 和风天气 MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from QWeather / 和风天气 and passes them to the LLM

Why Use Vercel AI SDK with the QWeather / 和风天气 MCP Server

Vercel AI SDK provides unique advantages when paired with QWeather / 和风天气 through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same QWeather / 和风天气 integration everywhere

03

Built-in streaming UI primitives let you display QWeather / 和风天气 tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

QWeather / 和风天气 + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the QWeather / 和风天气 MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query QWeather / 和风天气 in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate QWeather / 和风天气 tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed QWeather / 和风天气 capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with QWeather / 和风天气 through natural language queries

QWeather / 和风天气 MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect QWeather / 和风天气 to Vercel AI SDK via MCP:

01

get_air_now

5, etc.). Get current air quality

02

get_indices

Get daily life indices

03

get_moon_astronomy

Get moonrise and moonset times

04

get_sun_astronomy

Get sunrise and sunset times

05

get_warning

Get weather warnings

06

get_weather_24h

Get 24-hour weather forecast

07

get_weather_3d

Get 3-day weather forecast

08

get_weather_7d

Get 7-day weather forecast

09

get_weather_now

Get current weather

10

lookup_location

Search for location ID

Example Prompts for QWeather / 和风天气 in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with QWeather / 和风天气 immediately.

01

"What is the current weather in Beijing (101010100)?"

02

"Check the air quality for Shanghai today."

03

"Find the location ID for 'Hangzhou'."

Troubleshooting QWeather / 和风天气 MCP Server with Vercel AI SDK

Common issues when connecting QWeather / 和风天气 to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

QWeather / 和风天气 + Vercel AI SDK FAQ

Common questions about integrating QWeather / 和风天气 MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect QWeather / 和风天气 to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.