QWeather / 和风天气 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect QWeather / 和风天气 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"qweather": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "QWeather / 和风天气 Agent",
instructions:
"You help users interact with QWeather / 和风天气 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with QWeather / 和风天气?"
);
console.log(result.text);
}
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and QWeather / 和风天气 tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the QWeather / 和风天气 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from QWeather / 和风天气 via MCP
Why Use Mastra AI with the QWeather / 和风天气 MCP Server
Mastra AI provides unique advantages when paired with QWeather / 和风天气 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add QWeather / 和风天气 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every QWeather / 和风天气 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
QWeather / 和风天气 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the QWeather / 和风天气 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query QWeather / 和风天气, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed QWeather / 和风天气 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query QWeather / 和风天气 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using QWeather / 和风天气 tools alongside other MCP servers
QWeather / 和风天气 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect QWeather / 和风天气 to Mastra AI via MCP:
get_air_now
5, etc.). Get current air quality
get_indices
Get daily life indices
get_moon_astronomy
Get moonrise and moonset times
get_sun_astronomy
Get sunrise and sunset times
get_warning
Get weather warnings
get_weather_24h
Get 24-hour weather forecast
get_weather_3d
Get 3-day weather forecast
get_weather_7d
Get 7-day weather forecast
get_weather_now
Get current weather
lookup_location
Search for location ID
Example Prompts for QWeather / 和风天气 in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with QWeather / 和风天气 immediately.
"What is the current weather in Beijing (101010100)?"
"Check the air quality for Shanghai today."
"Find the location ID for 'Hangzhou'."
Troubleshooting QWeather / 和风天气 MCP Server with Mastra AI
Common issues when connecting QWeather / 和风天气 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpQWeather / 和风天气 + Mastra AI FAQ
Common questions about integrating QWeather / 和风天气 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect QWeather / 和风天气 to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.