How to Use the Tomorrow.io Plus MCP in Claude Code

Q: How do I use Tomorrow.io Plus with Claude Code?

You run a single command, like claude weather-check, which executes the necessary tools via the MCP Server. The output is pure text/JSON that you can pipe to other CLI tools or logging services.

Q: Can I validate system readiness with Tomorrow.io Plus and Claude Code?

Yes. You can script a validation step that runs listalerts and checks the output status code. If any alerts are active, your pipeline exits immediately, stopping deployment.

Q: How do I manage location definitions with Tomorrow.io Plus and Claude Code?

You use the listlocations tool to query existing locations, or if your script requires a new area type, you can define it and pass it to the appropriate data retrieval function.

Run weather data checks in CI/CD pipelines with Claude Code.

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Create your Vinkius account to connect Tomorrow.io Plus to Claude Code 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 Plus with Claude Code

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Automate Alert Checks

Integrate mandatory weather checks into your deployment pipeline. You can execute `list_alerts` as a pre-flight step in an SSH session, ensuring that no critical service goes live during active severe weather warnings. The output is designed to be piped directly into shell scripts for failure detection—if alerts are found, the job fails.

Fetch Raw Time Series Data

Need a raw data stream of historical measurements? Use `get_recent_history_weather` in a cron job. The MCP Server outputs structured JSON that your script can immediately consume, logging every temperature reading for the last 24 hours. This is perfect for backend services that track performance metrics against environmental factors.

Check Forecasts Headlessly

Before a scheduled rollout, check future conditions using `get_forecast_weather`. This allows your CI/CD pipeline to validate if the service needs to adjust its deployment window based on predicted weather. You can script this call and capture both daily and hourly forecasts for programmatic review.

Setup guide

Set up Tomorrow.io Plus MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see tomorrowio-plus-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Tomorrow.io Plus transactions." It will automatically discover and invoke the available Tomorrow.io Plus tools.

Terminal

claude mcp add --transport http tomorrowio-plus-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Tomorrow.io Plus MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about Tomorrow.io Plus MCP in Claude Code

You run a single command, like `claude weather-check`, which executes the necessary tools via the MCP Server. The output is pure text/JSON that you can pipe to other CLI tools or logging services.

Yes. You can script a validation step that runs `list_alerts` and checks the output status code. If any alerts are active, your pipeline exits immediately, stopping deployment.

It does. For services dealing with large boundaries, you can use `post_timelines` to get weather data for specific GeoJSON geometries directly in your script's output stream.

The server exposes raw measurements like temperature and precipitation intensity through `get_timelines`, alongside structured metadata from event lists (`list_events`) or insight categories.

You use the `list_locations` tool to query existing locations, or if your script requires a new area type, you can define it and pass it to the appropriate data retrieval function.

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