How to Use the NOAA Forecast — US Weather Predictions MCP in Claude Code

Q: How do I configure the NOAA Forecast — US Weather Predictions MCP Server in Claude Code?

Run claude mcp add --transport http noaa-weather -- . Make sure you put all your flags before the server name. You can verify the installation by running claude mcp list.

Pipe live National Weather Service data directly into your terminal workflows with the NOAA Forecast MCP Server for Claude Code.

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Connect NOAA Forecast — US Weather Predictions MCP to Claude Code

Create your Vinkius account to connect NOAA Forecast — US Weather Predictions 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 NOAA Forecast — US Weather Predictions with Claude Code

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Scripting weather-aware pipelines

You can build cron jobs that check the weather before running specific infrastructure tasks. Hit `get_forecast` with a latitude and longitude to check precipitation probabilities for the next seven days. If a major storm is coming, Claude Code can automatically pause deployments or alert your on-call rotation. The MCP Server extracts the high winds or heavy rain from the payload so your shell scripts can act on the data.

Deep dive into raw NWS metrics

When you need more than a basic summary, drop into the terminal and have your agent run `get_grid_data`. This pulls the raw arrays for temperature, wind vectors, and humidity directly from the agency. You can pipe that output straight into jq or another CLI tool. It gives you the exact programmatic data you need to adjust regional server loads based on incoming heat waves or winter freezes.

Pull text forecasts in your Claude Code CLI

Sometimes you need the actual human context behind a weather warning. You can use `get_point_metadata` to find the local WFO code for your data center's coordinates. Pass that code into `get_forecast_discussion`. Claude Code dumps the latest meteorologist text right into your terminal, giving you the detailed reasoning behind sudden forecast shifts.

Setup guide

Set up NOAA Forecast — US Weather Predictions 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 noaa-forecast-us-weather-predictions-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest NOAA Forecast — US Weather Predictions transactions." It will automatically discover and invoke the available NOAA Forecast — US Weather Predictions tools.

Terminal

claude mcp add --transport http noaa-forecast-us-weather-predictions-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 NOAA Forecast — US Weather Predictions 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": {
    "noaa-forecast-us-weather-predictions-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about NOAA Forecast — US Weather Predictions MCP in Claude Code

Run `claude mcp add --transport http noaa-weather -- `. Make sure you put all your flags before the server name. You can verify the installation by running `claude mcp list`.

Yes. Claude Code runs headless, so you can integrate the weather tools directly into your CI/CD pipeline to check regional weather conditions before triggering physical logistics deployments.

No, the hourly forecast tool returns exactly 156 hours of data. That covers six and a half days of hour-by-hour temperature, wind, and sky condition metrics.

This toolset strictly queries the United States National Weather Service API. It only has data for US territories and will return an error if you pass international coordinates.

The MCP integration strictly isolates your environment. The server only processes the exact latitude, longitude, and WFO codes you request. Your shell history, environment variables, and local system state never leave your machine.

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