How to Use the Tomorrow.io Extended MCP in Mastra AI

Q: Do I need specific credentials for Tomorrow.io Extended on Mastra AI?

Mastra AI supports authProvider integrations. You can manage your necessary access tokens directly within the client setup to keep your API calls secure and robust.

Run reliable, multi-step weather intelligence workflows using Mastra AI's built-in retry logic.

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Connect Tomorrow.io Extended MCP to Mastra AI

Create your Vinkius account to connect Tomorrow.io Extended 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 Tomorrow.io Extended with Mastra AI

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Perplexity

Handle API failures with MCP Server retries.

Mastra AI handles complex failure scenarios automatically. If an initial call to `get_air_quality` fails, the workflow engine can automatically retry using exponential backoff until it gets a valid reading. This resilience is key for production apps; you don't need custom error handling code when dealing with external API calls.

Build conditional logic across weather data.

You can set up complex workflows: If the `get_realtime_weather` reading shows wind speeds above 20 mph, then immediately call `list_weather_alerts`. This branching logic handles multiple steps gracefully. Mastra AI's workflow engine makes this kind of conditional execution reliable and easy to deploy.

Sequence forecasts and history with Mastra AI.

Need a full picture? Build a sequence: first, call `get_weather_forecast` for the next three days. Then, run `get_recent_history` to show context. The workflow executes these steps reliably in order. This setup ensures your agent builds a comprehensive report by chaining together different types of weather data.

Setup guide

Set up Tomorrow.io Extended 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 Tomorrow.io Extended 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: "tomorrowio-extended-mcp-client",
  servers: {
    "tomorrowio-extended-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Tomorrow.io Extended Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Tomorrow.io Extended tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Tomorrow.io Extended transactions"
);
console.log(result.text);

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Common questions about Tomorrow.io Extended MCP in Mastra AI

You connect the MCP Server URL directly into your Mastra AI client setup. The framework then uses its built-in workflow engine to manage tool invocation and execution state.

The server handles air quality data, real-time weather metrics, historical summaries, and predictive forecasts through various tools.

Yes. You can create a workflow that checks for immediate risks by calling `list_weather_alerts`. If an alert is found, the subsequent steps in your workflow can notify an admin.

This MCP Server deals with public weather and air quality data types. Since it's a read-only function, you won't be writing or changing any user records.

Mastra AI supports `authProvider` integrations. You can manage your necessary access tokens directly within the client setup to keep your API calls secure and robust.

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