How to Use the USGS Earthquakes MCP in CrewAI

Q: Is the countearthquakes function useful when running a CrewAI workflow?

It's highly useful. You can assign an agent to use countearthquakes early in the process. The resulting number acts as a metric for subsequent agents to report on.

Run autonomous USGS Earthquakes monitoring operations with CrewAI's multi-agent collaboration.

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Connect USGS Earthquakes MCP to CrewAI

Create your Vinkius account to connect USGS Earthquakes to CrewAI 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 CrewAI

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Autonomous Analysis of USGS Earthquakes Data

Use the `query_earthquakes` tool as part of an agent's role. Agent A researches a specific area by querying boundaries, and Agent B analyzes that data to identify trends in magnitude or frequency. The shared memory between agents means the results from one step inform the next, allowing for true autonomous operational monitoring.

Coordinating USGS Earthquakes Monitoring with MCP Server

You can assign a specialized agent to monitor global activity using `get_significant_30_days`. This single tool call becomes the trigger for an entire 'crew' of agents to report, analyze, and escalate findings. The framework handles sequential execution: Agent A gets the list; Agent C drafts the summary.

Counting Earthquakes using CrewAI's Tools

If you need a quick metric, assign an agent to use `count_earthquakes`. This role-based specialization allows one agent to focus solely on gathering counts while another focuses on writing the report. The system runs this count as part of a larger operation, ensuring that simple data points are integrated into complex narratives.

Setup guide

Set up USGS Earthquakes MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke USGS Earthquakes tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="USGS Earthquakes Analyst",
    goal="Access and analyze USGS Earthquakes data via MCP.",
    backstory="Expert analyst with direct USGS Earthquakes access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent USGS Earthquakes transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="USGS Earthquakes Analyst",
        goal="Access and analyze USGS Earthquakes data via MCP.",
        backstory="Expert analyst with direct USGS Earthquakes access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent USGS Earthquakes transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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Common questions about USGS Earthquakes MCP in CrewAI

You assign an agent the 'Researcher' role and give it access to `query_earthquakes`. This agent executes the search, gathering all necessary parameters like time boundaries from your prompt.

Yes. You set up a crew where one agent gathers the list of significant earthquakes using `get_significant_30_days`, and another agent is tasked with writing the final, structured report.

You pass all available parameters—starttime, endtime, minmagnitude, latitude/longitude boundaries—to the `query_earthquakes` tool. The crew then uses this full context for its analysis.

It's highly useful. You can assign an agent to use `count_earthquakes` early in the process. The resulting number acts as a metric for subsequent agents to report on.

The server handles real-time seismic event data. This includes magnitude, time stamps, and geographic coordinates (latitude/longitude) of recorded earthquakes.

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