USGS Earthquakes MCP Server for Pydantic AI 3 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect USGS Earthquakes through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to USGS Earthquakes "
"(3 tools)."
),
)
result = await agent.run(
"What tools are available in USGS Earthquakes?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About USGS Earthquakes MCP Server
The USGS Earthquakes MCP Server brings planet-scale telemetry directly to your AI agent. Pulling strictly real-time and historical data from the United States Geological Survey (USGS) API, this tool gives you instant visibility into everything from micro-tremors to catastrophic seismic events globally.
Pydantic AI validates every USGS Earthquakes tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
Core Capabilities
- Global Seismic Monitoring — Query real-time data across the planet.
- Radial & Bounding Box Search — Focus searches on specific fault lines, continents, or specific radial points like Tokyo or San Francisco.
- Magnitude & Time Filters — Zero in on data by slicing through specific date ranges and Richter thresholds.
- High-Alert Diagnostics — Detect immediate tsunami warnings and review detailed human-curated significance ratings.
The USGS Earthquakes MCP Server exposes 3 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect USGS Earthquakes to Pydantic AI via MCP
Follow these steps to integrate the USGS Earthquakes MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from USGS Earthquakes with type-safe schemas
Why Use Pydantic AI with the USGS Earthquakes MCP Server
Pydantic AI provides unique advantages when paired with USGS Earthquakes through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your USGS Earthquakes integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your USGS Earthquakes connection logic from agent behavior for testable, maintainable code
USGS Earthquakes + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the USGS Earthquakes MCP Server delivers measurable value.
Type-safe data pipelines: query USGS Earthquakes with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple USGS Earthquakes tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query USGS Earthquakes and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock USGS Earthquakes responses and write comprehensive agent tests
USGS Earthquakes MCP Tools for Pydantic AI (3)
These 3 tools become available when you connect USGS Earthquakes to Pydantic AI via MCP:
count_earthquakes
Get the total count of earthquakes matching specific criteria
get_significant_30_days
No parameters needed. Get highly significant global earthquakes from the last 30 days
query_earthquakes
Use parameters like starttime, endtime, minmagnitude, and geographic boundaries (latitude/longitude/maxradiuskm) to narrow the search. Maximum 20,000 events returned per query. Search for global earthquakes using USGS real-time seismic data
Example Prompts for USGS Earthquakes in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with USGS Earthquakes immediately.
"Show me the most significant earthquakes in the world from the last 30 days."
"Count the number of earthquakes above magnitude 2.5 in California in 2023."
"Check if there are any current tsunami warnings globally."
Troubleshooting USGS Earthquakes MCP Server with Pydantic AI
Common issues when connecting USGS Earthquakes to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiUSGS Earthquakes + Pydantic AI FAQ
Common questions about integrating USGS Earthquakes MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect USGS Earthquakes with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect USGS Earthquakes to Pydantic AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.