How to Use the Tomorrow.io MCP in Cursor

Q: How does Cursor use Tomorrow.io data in the coding process?

When Agent mode is active, the AI calls tools like gethourlyforecast. It takes the live JSON response and uses it to generate actual working code blocks that contain real environmental context.

Q: What kind of risk assessments can Tomorrow.io provide for coding projects?

It provides road hazard data through getroadweatherrisk and wildfire index reports using getwildfirerisk. You can build specific functions around these two high-priority climate risks.

Q: Does Tomorrow.io work with local code environments when connecting to Cursor?

Yes, by configuring the server in your project scope using .cursor/mcp.json, you ensure that every developer on the team uses the same live tool context within their editor.

Inject live climate risk data directly into your Cursor code with the MCP Server.

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Connect Tomorrow.io MCP to Cursor

Create your Vinkius account to connect Tomorrow.io to Cursor 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 with Cursor

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Claude

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Build functions using real-time weather context.

Your agent can now write working code that calls Tomorrow.io tools and injects actual API results right where you're typing. Instead of mock data, the code uses live answers from `get_realtime_weather` for a specific location. This is huge for testing. You write a function to check if a route is safe; it automatically calls `get_road_weather_risk` and embeds that actual risk assessment into your output.

Implement complex forecasting logic in code.

Need predictions over multiple timeframes? You can structure functions around `get_custom_timelines`, allowing the AI to query specific date ranges and intervals. This capability lets you build models that react dynamically. For long-term planning, use `get_daily_forecast` to calculate totals or extremes for upcoming weeks, then embed those results into your application logic.

Handle specialized environmental data types.

The server lets you manage more than just temperature. You can write code that checks the severity of pollen counts using `get_pollen_forecast` or validates air quality reports using `get_air_quality_index`. This expands your codebase's utility significantly. It even handles catastrophic risk, letting your agent check for wildfire danger via `get_wildfire_risk` and integrate that into a safety module.

Setup guide

Set up Tomorrow.io MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Tomorrow.io MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Tomorrow.io transactions." If the MCP tools are loaded correctly, Cursor will call the Tomorrow.io tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "tomorrowio-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 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.

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Common questions about Tomorrow.io MCP in Cursor

When Agent mode is active, the AI calls tools like `get_hourly_forecast`. It takes the live JSON response and uses it to generate actual working code blocks that contain real environmental context.

Absolutely. By adding the MCP Server config to your project's root, you enable the AI agent in Cursor to access all 10 tools and use them immediately when generating code.

It provides road hazard data through `get_road_weather_risk` and wildfire index reports using `get_wildfire_risk`. You can build specific functions around these two high-priority climate risks.

Yes, by configuring the server in your project scope using `.cursor/mcp.json`, you ensure that every developer on the team uses the same live tool context within their editor.

This server handles environmental and climatic measurements, including Precipitation Nowcast (minute-by-minute) and Air Quality Index (AQI).

Use it with your favorite AI tools

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

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