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Caiyun Weather / 彩云天气 MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Caiyun Weather / 彩云天气 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "caiyun-weather": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Caiyun Weather / 彩云天气 Agent",
    instructions:
      "You help users interact with Caiyun Weather / 彩云天气 " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Caiyun Weather / 彩云天气?"
  );
  console.log(result.text);
}

main();
Caiyun Weather / 彩云天气
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Caiyun Weather / 彩云天气 MCP Server

Empower your AI agent to orchestrate your environmental monitoring and high-precision weather forecasting with Caiyun Weather (彩云天气), the pioneer of minute-level precipitation forecasting in China. By connecting Caiyun to your agent, you transform complex meteorological data, air quality auditing, and long-term forecasts into a natural conversation. Your agent can instantly retrieve real-time conditions for any coordinate, provide hyper-local rain alerts for the next two hours, and audit historical or forecast trends without you ever needing to navigate a weather map. Whether you are planning outdoor logistics or monitoring air quality for retail branches, your agent acts as a real-time environmental coordinator, providing accurate and fast results from a single, authorized source.

Mastra's agent abstraction provides a clean separation between LLM logic and Caiyun Weather / 彩云天气 tool infrastructure. Connect 8 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

  • Minute-Precision Rain — Access hyper-local precipitation forecasts for the next 120 minutes with high resolution.
  • Real-time Auditing — Retrieve current temperature, humidity, visibility, and wind conditions for specific coordinates.
  • Air Quality Monitoring — Access real-time AQI and pollutant data (PM2.5, PM10) across mainland China.
  • Long-term Forecasting — Retrieve detailed hourly and daily weather trends for up to 15 days.
  • Geographic Flexibility — Query any location using Longitude,Latitude (GCJ-02) or administrative codes.

The Caiyun Weather / 彩云天气 MCP Server exposes 8 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 Caiyun Weather / 彩云天气 to Mastra AI via MCP

Follow these steps to integrate the Caiyun Weather / 彩云天气 MCP Server with Mastra AI.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 8 tools from Caiyun Weather / 彩云天气 via MCP

Why Use Mastra AI with the Caiyun Weather / 彩云天气 MCP Server

Mastra AI provides unique advantages when paired with Caiyun Weather / 彩云天气 through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Caiyun Weather / 彩云天气 without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Caiyun Weather / 彩云天气 tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Caiyun Weather / 彩云天气 + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Caiyun Weather / 彩云天气 MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Caiyun Weather / 彩云天气, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Caiyun Weather / 彩云天气 as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Caiyun Weather / 彩云天气 on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Caiyun Weather / 彩云天气 tools alongside other MCP servers

Caiyun Weather / 彩云天气 MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Caiyun Weather / 彩云天气 to Mastra AI via MCP:

01

get_aqi_info

Get air quality index

02

get_daily_forecast

Get daily weather forecast

03

get_hourly_forecast

Get hourly weather forecast

04

get_minutely_rain

Get minute-precision rain

05

get_precipitation_probability

Check rain probability

06

get_realtime_weather

Get real-time weather

07

get_visibility_data

Get visibility distance

08

get_wind_conditions

Get wind speed and direction

Example Prompts for Caiyun Weather / 彩云天气 in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Caiyun Weather / 彩云天气 immediately.

01

"What is the real-time weather at coordinates 121.47,31.23 (Shanghai)?"

02

"Will it rain in the next 2 hours at 116.40,39.90 (Beijing)?"

03

"Check the air quality index for coordinates 113.26,23.12 (Guangzhou)."

Troubleshooting Caiyun Weather / 彩云天气 MCP Server with Mastra AI

Common issues when connecting Caiyun Weather / 彩云天气 to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Caiyun Weather / 彩云天气 + Mastra AI FAQ

Common questions about integrating Caiyun Weather / 彩云天气 MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Caiyun Weather / 彩云天气 to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.