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

Q: Can I use Tomorrow.io Extended to create scheduled reports using Claude Code?

Yes, you can wrap any tool call—like checking alerts with listweatheralerts—inside a cron job or Docker container command. It runs reliably without needing an active user session.

Q: If I need to validate data across time using Tomorrow.io Extended, how does Claude Code help?

You can chain calls within the script: first running getrecenthistory and then comparing key metrics against a current call like getrealtimeweather, all in one command line execution.

Run critical weather checks for Claude Code in CI/CD pipelines using headless MCP execution.

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 Extended MCP to Claude Code

Create your Vinkius account to connect Tomorrow.io Extended 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.

GDPR Free for Subscribers

Setup Tomorrow.io Extended with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Air Quality Reporting with Tomorrow.io Extended

In a shell script, you can call `get_air_quality` to check the environment status at any given moment. The output is piped directly to your CI/CD log or stored in a database record. This is perfect for automated compliance checks. Instead of running a manual query, you add one line that executes the tool and captures the data stream.

Build Scheduled Weather Checks with Tomorrow.io Extended MCP Server

Use `get_weather_forecast` in a cron job or GitHub Action to predict conditions for the next week. This allows you to run deep checks without any GUI or terminal interaction. It's reliable, headless execution. The script gets the forecast data and exits cleanly, making it ideal for backend pipelines.

Monitor Hazards Across Deployments with Tomorrow.io Extended

Before a deployment can proceed, your pipeline must check for risks. You run `list_weather_alerts` to ensure no severe warnings are active in the target region. The script fails immediately if an alert is found. Want to see trends? Running `get_recent_history` allows the script to pull historical data and validate that current conditions fall within expected parameters.

Setup guide

Set up Tomorrow.io Extended 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-extended-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http tomorrowio-extended-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 Extended 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-extended-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Extended 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 Extended MCP in Claude Code

You simply add an MCP step to your workflow file (e.g., YAML). The script executes the tool—say, `get_realtime_weather`—and pipes the resulting JSON data directly into subsequent build steps for validation.

This MCP Server touches Air Quality data. This is environmental information that your background processes use to generate automated reports and alerts, keeping the system updated without manual intervention.

No. The whole point is headless execution. You connect it via standard streams (stdio or http) and pipe the output of the `get_weather_forecast` tool directly into your shell script's variables.

Yes, you can wrap any tool call—like checking alerts with `list_weather_alerts`—inside a cron job or Docker container command. It runs reliably without needing an active user session.

You can chain calls within the script: first running `get_recent_history` and then comparing key metrics against a current call like `get_realtime_weather`, all in one command line execution.

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