How to Use the INMET (Apitempo - Meteorologia) MCP in Cursor

Q: Can Cursor write code using real data from INMET (Apitempo - Meteorologia)?

Yes, the editor calls getstationdatadaily to pull actual climate records into your active session. Your agent then writes functions based on real telemetry rather than generic mock objects.

Write weather-dependent code in Cursor using live INMET telemetry to build real-world apps with this MCP Server.

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Connect INMET (Apitempo - Meteorologia) MCP to Cursor

Create your Vinkius account to connect INMET (Apitempo - Meteorologia) 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 INMET (Apitempo - Meteorologia) with Cursor

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Code with live Brazilian weather data

Execute `get_station_data_hourly` to inject live physical station telemetry straight into the files you are actively editing in Cursor. This lets your AI editor write functions using real-world numbers instead of dummy variables. You get accurate payloads for temperature, humidity, and pressure without leaving your workspace. The agent uses this real-time context to build precise data parsers on the fly.

Map regional networks inside your editor

Query `list_stations` to discover every active weather station across Brazil's vast monitoring network. Your agent uses this directory to map out coordinates and station types directly in your codebase. If you need local context, run `get_meteorological_data_by_region` to pull state-wide telemetry. Cursor parses the resulting array to populate your local databases or test suites instantly.

Integrate official forecasts with this MCP Server

Call `get_forecast_by_city` to test how your application handles real-time meteorological JSON payloads. Having this MCP Server active means your editor tests real API responses, preventing integration bugs before deployment. Your agent writes the API wrapper and validates the schema using live output. You can also pull `get_all_forecasts` to test how your app scales when handling bulk municipal data.

Setup guide

Set up INMET (Apitempo - Meteorologia) 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 INMET (Apitempo - Meteorologia) 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 INMET (Apitempo - Meteorologia) transactions." If the MCP tools are loaded correctly, Cursor will call the INMET (Apitempo - Meteorologia) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Common questions about INMET (Apitempo - Meteorologia) MCP in Cursor

Create a .cursor/mcp.json file in your project root and paste the server configuration there. Once saved, Cursor's agent mode instantly gains access to all weather endpoints.

Yes, the editor calls `get_station_data_daily` to pull actual climate records into your active session. Your agent then writes functions based on real telemetry rather than generic mock objects.

Yes, you can run the server globally or scope it to a specific directory. This allows you to test weather-dependent microservices without polluting your global editor settings.

Check the Cursor terminal logs to see the raw JSON errors from the server. Most issues stem from invalid station IDs, which you can resolve by running `list_stations` first.

The server only touches your explicit weather queries, such as station coordinates and forecast regions. It has zero access to your proprietary source code, local files, or git history.

Use it with your favorite AI tools

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