USGS Earthquakes MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add USGS Earthquakes as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to USGS Earthquakes. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in USGS Earthquakes?"
)
print(response)
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.
LlamaIndex agents combine USGS Earthquakes tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the USGS Earthquakes MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the USGS Earthquakes MCP Server
LlamaIndex provides unique advantages when paired with USGS Earthquakes through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine USGS Earthquakes tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain USGS Earthquakes tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query USGS Earthquakes, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what USGS Earthquakes tools were called, what data was returned, and how it influenced the final answer
USGS Earthquakes + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the USGS Earthquakes MCP Server delivers measurable value.
Hybrid search: combine USGS Earthquakes real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query USGS Earthquakes to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying USGS Earthquakes for fresh data
Analytical workflows: chain USGS Earthquakes queries with LlamaIndex's data connectors to build multi-source analytical reports
USGS Earthquakes MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect USGS Earthquakes to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting USGS Earthquakes to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUSGS Earthquakes + LlamaIndex FAQ
Common questions about integrating USGS Earthquakes MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.