GDACS MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect GDACS through 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({
"gdacs": {
"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 GDACS, 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 GDACS MCP Server
Connect to GDACS (Global Disaster Alert and Coordination System) and monitor worldwide disaster activity through natural conversation — no API key needed.
LangChain's ecosystem of 500+ components combines seamlessly with GDACS through native MCP adapters. Connect 12 tools via 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.
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 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 GDACS to LangChain via MCP
Follow these steps to integrate the GDACS 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 12 tools from GDACS via MCP
Why Use LangChain with the GDACS MCP Server
LangChain provides unique advantages when paired with GDACS through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine GDACS 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 GDACS queries for multi-turn workflows
GDACS + LangChain Use Cases
Practical scenarios where LangChain combined with the GDACS MCP Server delivers measurable value.
RAG with live data: combine GDACS tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query GDACS, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain GDACS tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every GDACS tool call, measure latency, and optimize your agent's performance
GDACS MCP Tools for LangChain (12)
These 12 tools become available when you connect GDACS to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting GDACS to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGDACS + LangChain FAQ
Common questions about integrating GDACS 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 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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.