USGS Earthquakes MCP Server for LangChain 3 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect USGS Earthquakes through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"usgs-earthquakes": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using USGS Earthquakes, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with USGS Earthquakes through native MCP adapters. Connect 3 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the USGS Earthquakes MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 3 tools from USGS Earthquakes via MCP
Why Use LangChain with the USGS Earthquakes MCP Server
LangChain provides unique advantages when paired with USGS Earthquakes through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine USGS Earthquakes MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across USGS Earthquakes queries for multi-turn workflows
USGS Earthquakes + LangChain Use Cases
Practical scenarios where LangChain combined with the USGS Earthquakes MCP Server delivers measurable value.
RAG with live data: combine USGS Earthquakes tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query USGS Earthquakes, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain USGS Earthquakes tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every USGS Earthquakes tool call, measure latency, and optimize your agent's performance
USGS Earthquakes MCP Tools for LangChain (3)
These 3 tools become available when you connect USGS Earthquakes to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting USGS Earthquakes to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersUSGS Earthquakes + LangChain FAQ
Common questions about integrating USGS Earthquakes MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect USGS Earthquakes with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
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 LangChain
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
