How to Use the Tomorrow.io MCP in Mastra AI

Q: How do I check for historical weather data using Tomorrow.io and Mastra AI?

You use gethistoricalweather to pull actual recorded observations. This is useful in a workflow that needs to compare predicted outcomes against what really happened.

Q: What kind of climate risks does Tomorrow.io offer for Mastra AI?

The server provides specialized assessments, including getroadweatherrisk and the wildfire risk index from getwildfirerisk. These are great inputs for failure detection in a complex flow.

Q: Can I get air quality data when building with Tomorrow.io and Mastra AI?

Yes, you can use getairqualityindex to retrieve current and forecast air quality metrics. This data point adds another layer of validation to your multi-step business processes.

Build resilient workflows: Handle complex climate logic using Mastra AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Tomorrow.io MCP to Mastra AI

Create your Vinkius account to connect Tomorrow.io 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.

GDPR Free for Subscribers

Setup Tomorrow.io with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Handling Long-Term Climate Planning

Use `get_daily_forecast` when you need long-range planning data. It returns up to 15 days of daily temperature extremes and totals for a location. This is perfect for complex workflows in Mastra AI that might involve scheduling or resource allocation over several weeks.

Executing Time-Sensitive Predictions

Need predictions hour by hour? Call `get_hourly_forecast`. It returns up to 120 hours of detailed weather predictions for a spot. If your workflow fails on the first attempt, you can build retries around this tool. Mastra AI's exponential backoff handles repeated calls gracefully.

Calculating Custom Data Intervals

The `get_custom_timelines` tool lets you query weather data for arbitrary intervals and custom time ranges. You define the exact start and end points. This level of granular control is critical when building multi-step workflows in Mastra AI that require highly specific datasets.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tomorrow.io. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Tomorrow.io now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Tomorrow.io MCP in Mastra AI

You use `get_historical_weather` to pull actual recorded observations. This is useful in a workflow that needs to compare predicted outcomes against what really happened.

The server provides specialized assessments, including `get_road_weather_risk` and the wildfire risk index from `get_wildfire_risk`. These are great inputs for failure detection in a complex flow.

Yes, you can use `get_air_quality_index` to retrieve current and forecast air quality metrics. This data point adds another layer of validation to your multi-step business processes.

It covers everything from minute-by-minute precipitation nowcasts (`get_minutely_precipitation`) to daily pollen counts using `get_pollen_forecast`.

This server touches location-based weather and air quality data, specifically including latitude/longitude coordinates and general city names when making a request.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript