How to Use the USGS Earthquakes MCP in Cline

Q: Can I use USGS Earthquakes data in my CI/CD pipeline using Cline?

Absolutely. You can write a test that uses countearthquakes to check if the total number of quakes exceeds a certain threshold, and Cline will run the test and stage the commit for you.

Q: What if I want to find quakes using USGS Earthquakes with Cline but need a specific timeframe?

Use queryearthquakes by passing the starttime and endtime parameters. Cline handles this, fetches the data, and writes the component that visualizes those exact dates.

Q: How do I check for recent activity using USGS Earthquakes with Cline?

You can prompt Cline to use getsignificant30days. It pulls the highly significant global data and builds a working component that displays those 30 days of activity.

Build dashboards from global seismic data using Cline.

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Connect USGS Earthquakes MCP to Cline

Create your Vinkius account to connect USGS Earthquakes to Cline 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 USGS Earthquakes with Cline

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Automate Counts with Cline

The `count_earthquakes` tool lets you programmatically determine the total number of quakes matching specific criteria. You can build a test case that verifies data volume for any given region. Cline takes this count and writes the necessary component or script to display it, so you don't have to write the plumbing.

Build Reports on Major Earthquakes with Cline

Need a dashboard of recent activity? Use `get_significant_30_days`. Cline fetches this global data and then writes the full component, handling the API import and displaying the results in a clean diff for you to review. No hand-holding required; it just builds the visualization from the raw seismic feed.

Filter Data with MCP Server

The `query_earthquakes` tool lets you define precise searches using start/end times, minimum magnitudes, and geographic boundaries. Cline then takes this filtered data set and writes the parsing logic into your codebase. It handles up to 20,000 events per query, perfect for populating a large dataset view.

Setup guide

Set up USGS Earthquakes MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type usgs-earthquakes-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest USGS Earthquakes refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "usgs-earthquakes-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about USGS Earthquakes MCP in Cline

You tell Cline your goal—'Build me a dashboard showing quakes over 5.0 magnitude.' It automatically uses the `query_earthquakes` tool, imports the resulting seismic data, and writes all the necessary front-end components.

Absolutely. You can write a test that uses `count_earthquakes` to check if the total number of quakes exceeds a certain threshold, and Cline will run the test and stage the commit for you.

This server deals with real-time seismic event data. The data points include magnitude, location (lat/long), and date, which are read into your local project scope.

Use `query_earthquakes` by passing the starttime and endtime parameters. Cline handles this, fetches the data, and writes the component that visualizes those exact dates.

You can prompt Cline to use `get_significant_30_days`. It pulls the highly significant global data and builds a working component that displays those 30 days of activity.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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