GDACS MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GDACS as an MCP tool provider through 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 GDACS. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in GDACS?"
)
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 GDACS MCP Server
Connect to GDACS (Global Disaster Alert and Coordination System) and monitor worldwide disaster activity through natural conversation — no API key needed.
LlamaIndex agents combine GDACS tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Earthquake Tracking — Monitor earthquakes worldwide with magnitude filtering, depth data and impact estimates
- Cyclone Monitoring — Track tropical cyclones, hurricanes and typhoons with categories, wind speeds and forecast tracks
- Flood Alerts — Monitor flood events with affected population estimates and severity levels
- Volcanic Activity — Track volcanic eruptions with ash plume data and alert levels
- Wildfire Monitoring — Monitor wildfires with burned area estimates and affected populations
- Drought Tracking — Track drought events with severity levels and population impact
- Impact Estimates — Get population exposure, estimated fatalities and economic losses for each event
- Alert Levels — View color-coded alerts (red=high, orange=medium, green=low)
The GDACS MCP Server exposes 12 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 GDACS to LlamaIndex via MCP
Follow these steps to integrate the GDACS 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 12 tools from GDACS
Why Use LlamaIndex with the GDACS MCP Server
LlamaIndex provides unique advantages when paired with GDACS through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GDACS tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GDACS tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GDACS, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GDACS tools were called, what data was returned, and how it influenced the final answer
GDACS + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GDACS MCP Server delivers measurable value.
Hybrid search: combine GDACS real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GDACS 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 GDACS for fresh data
Analytical workflows: chain GDACS queries with LlamaIndex's data connectors to build multi-source analytical reports
GDACS MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect GDACS to LlamaIndex via MCP:
get_alert_detail
Get details for a specific alert
get_alerts
Alerts are color-coded: red (high impact), orange (medium impact), green (low impact). Supports filtering by event type and time period. Get disaster alerts
get_event_detail
Get details for a specific disaster event
get_event_geojson
Returns geographic boundaries, affected areas and population exposure polygons. Get GeoJSON data for a disaster event
get_event_list
Supports filtering by event type (EQ=earthquake, TC=cyclone, FL=flood, VO=volcano, WF=wildfire, DR=drought), date range, and time period. Returns event names, types, magnitudes, alert levels, start dates and affected countries. Search disaster events
get_impacts
Returns estimated population affected, fatalities, economic losses and confidence levels. Get impact estimates for a disaster event
get_latest_cyclones
Returns cyclone names, categories, wind speeds, locations, alert levels and forecast tracks. Get latest tropical cyclones worldwide
get_latest_droughts
Returns drought locations, start dates, severity levels, alert levels and affected populations. Get latest drought events worldwide
get_latest_earthquakes
Returns magnitude, depth, location, alert level and affected countries. Optionally filter by minimum magnitude and number of days. Get latest earthquakes worldwide
get_latest_floods
Returns flood locations, start dates, alert levels, affected populations and severity estimates. Get latest floods worldwide
get_latest_volcanoes
Returns volcano names, locations, eruption types, alert levels and ash plume information. Get latest volcanic activity worldwide
get_latest_wildfires
Returns fire locations, start dates, burned areas, alert levels and affected populations. Get latest wildfires worldwide
Example Prompts for GDACS in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with GDACS immediately.
"What earthquakes happened in the last 7 days?"
"Are there any active cyclones right now?"
"Show me flood alerts for the last 3 days."
Troubleshooting GDACS MCP Server with LlamaIndex
Common issues when connecting GDACS to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGDACS + LlamaIndex FAQ
Common questions about integrating GDACS 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 GDACS 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 GDACS to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.