How to Use the INMET (Apitempo - Meteorologia) MCP in VS Code Copilot

Q: Can VS Code Copilot analyze hourly weather from INMET (Apitempo - Meteorologia)?

Yes, the developer can ask Copilot to query getstationdatahourly for specific times. The agent parses the wind speed, temperature, and pressure data directly in your chat.

Equip your entire engineering team in VS Code Copilot with official INMET weather tools via shared MCP configs.

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Connect INMET (Apitempo - Meteorologia) MCP to VS Code Copilot

Create your Vinkius account to connect INMET (Apitempo - Meteorologia) to VS Code Copilot 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 VS Code Copilot

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Team-wide weather integrations in VS Code

Deploy `get_meteorological_data_by_region` across your entire development team by committing a shared MCP configuration file to your git repository. Every engineer gains immediate access to regional Brazilian weather data inside their Copilot chat. This standardizes how your team tests weather-dependent microservices. Developers can query live conditions across entire Brazilian states without managing individual API keys or local configurations.

Build predictive models with historical data

Run `get_meteorological_data_by_date` to pull archived climate measurements directly into your VS Code terminal. Your agent analyzes these historical data points to help you write predictive algorithms or train local models. You can verify historical anomalies by pulling daily trends with `get_station_data_daily`. Having this data on hand ensures your code handles extreme weather events correctly.

Real-time satellite tracking for enterprise apps

Call `get_satellite_images` to fetch official GOES-16 imagery directly into your development workflow. This allows your team to build visual weather dashboards using verified government files. This MCP Server handles the complex authentication and provides clean endpoints for your agent. Combine this with `get_station_data_hourly` to correlate visual cloud cover with actual ground-level telemetry.

Setup guide

Set up INMET (Apitempo - Meteorologia) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the INMET (Apitempo - Meteorologia) MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the INMET (Apitempo - Meteorologia) tools listed. Try asking: "List my recent INMET (Apitempo - Meteorologia) transactions" and Copilot will invoke them automatically.

.vscode/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 VS Code Copilot

Save the MCP server details in a .vscode/mcp.json file at the root of your repository and commit it. Everyone on your team using Copilot will automatically inherit access to the meteorological tools.

Yes, the developer can ask Copilot to query `get_station_data_hourly` for specific times. The agent parses the wind speed, temperature, and pressure data directly in your chat.

Yes, because Vinkius runs the server in an isolated sandbox. Your team accesses the API via a secure, single-token endpoint, keeping your corporate network protected.

The platform handles request queuing to prevent your team from hitting INMET's rate blocks. You can also use `list_stations` to cache station metadata locally and minimize active API requests.

Only your specific query parameters—like city names, station IDs, and dates—are sent to the server. Your workspace code and internal repository details remain completely private and never leave your machine.

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