How to Use the Caiyun Weather / 彩云天气 MCP in Mastra AI

Build resilient, weather-triggered automations using Caiyun Weather data and the Mastra AI TypeScript framework.

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Connect Caiyun Weather / 彩云天气 MCP to Mastra AI

Create your Vinkius account to connect Caiyun Weather / 彩云天气 to Mastra AI 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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Setup Caiyun Weather / 彩云天气 with Mastra AI

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Trigger Actions on Weather Changes

The `get_precipitation_probability` tool checks if it's going to rain in a specific area. With Mastra AI, you can build a workflow that checks for rain every 15 minutes. If the probability from the Caiyun tool is over 80%, your agent can trigger another action—like sending an alert or adjusting an IoT device. Mastra's engine handles the scheduling and state for you.

Fail-Safe Weather Data Pipelines

Your automations need reliable data, and this server provides it with tools like `get_realtime_weather` and `get_aqi_info`. Mastra AI’s built-in retry logic is perfect for this. If a call to this MCP server fails, Mastra automatically retries with exponential backoff. You don't write any boilerplate error-handling; your workflow just gets the weather data it needs.

Build Multi-Step Weather Workflows

This MCP server gives your agent a full suite of weather data points, from `get_wind_conditions` to `get_visibility_data`. You can chain these tools together in a Mastra AI workflow. For example: first, check wind speed with `get_wind_conditions`. If it's above a threshold, then check the `get_daily_forecast` for storms. If a storm is coming, send an alert. Mastra manages the entire sequence.

Setup guide

Set up Caiyun Weather / 彩云天气 MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Caiyun Weather / 彩云天气 tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "caiyun-weather-mcp-client",
  servers: {
    "caiyun-weather-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Caiyun Weather / 彩云天气 Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Caiyun Weather / 彩云天气 tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Caiyun Weather / 彩云天气 transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Caiyun Weather / 彩云天气. 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.

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Common questions about Caiyun Weather / 彩云天气 MCP in Mastra AI

You use a standard if/else block in your Mastra AI workflow. Call a Caiyun Weather tool like `get_aqi_info`, and if the returned value meets your condition, execute the next step in your agent's logic.

Yes, Mastra AI has automatic retries with exponential backoff built in. If a request to the Caiyun Weather MCP server fails, Mastra handles the retry attempts so your workflow remains robust.

You pass your Vinkius URL, which includes your token, when you instantiate the `MCPClient`. Mastra AI manages the connection, so you only need to configure it once for all your weather-related tasks.

Absolutely. That's a great use case. A Mastra AI workflow can poll `get_minutely_rain` and trigger an alert through another service if the precipitation level passes a set threshold for your target area.

Only the location data required for the forecast is sent to the Caiyun Weather server. Your Vinkius endpoint token authenticates the request, which means the MCP server never sees your project's private keys. All traffic is encrypted.

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