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How to Use the USGS Earthquakes MCP in Google ADK

Enterprise Seismic Monitoring with Google ADK for BigQuery Integration

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Google ADK

Connect USGS Earthquakes MCP to Google ADK

Create your Vinkius account to connect USGS Earthquakes to Google ADK 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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Search global quakes using Google ADK

The `query_earthquakes` tool lets your agent search USGS real-time seismic data. You input criteria like minimum magnitude, specific start/end times, and geographic boundaries to narrow the scope of your search. Your agent integrates this structured data flow directly into your Google Cloud environment for complex analysis using Vertex AI.

Monitor significant quakes over 30 days with Google ADK

Need a quick status update? Call `get_significant_30_days`. This tool fetches all highly significant global earthquakes from the last month, requiring no parameters. The results are ready for immediate processing in your BigQuery datasets. It’s ideal when you want to ingest critical seismic data into an existing enterprise pipeline without manual setup.

Count specific earthquake events with Google ADK

If you just need a number, use the `count_earthquakes` tool. This function calculates the total count of earthquakes matching your defined criteria—magnitude, date range, or location. This provides a reliable metric for executive dashboards. Your agent gets the raw count and can write it directly into a BigQuery table.

Setup guide

Set up USGS Earthquakes MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with USGS Earthquakes tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="USGS Earthquakes_agent",
    model="gemini-2.0-flash",
    instruction="You have access to USGS Earthquakes tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by USGS. 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.

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Common questions about USGS Earthquakes MCP in Google ADK

You call `get_significant_30_days`. It retrieves all highly significant global earthquake events from the last 30 days automatically. This data is then accessible for deep analysis within your agent workflow.
The `query_earthquakes` tool accepts parameters defining start time, end time, minimum magnitude, and geographic boundaries. It can return a maximum of 20,000 events per request.
The `count_earthquakes` tool calculates the total number of matching seismic events. You provide the criteria (e.g., magnitude range or date) and it gives you a precise integer count.
Yes. By using `query_earthquakes`, your agent pulls massive datasets defining specific time ranges, which you can then run through long-context reasoning models in Vertex AI.
This server touches real-time seismic event records from the USGS network. The specific data is structured earthquake event information, including magnitude, location coordinates, and time stamps.

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