How to Use the GDACS MCP in OpenAI Agents SDK
Integrate real-time disaster intelligence into your OpenAI Agents SDK production pipeline for instant, data-backed situational awareness.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GDACS MCP to OpenAI Agents SDK
Create your Vinkius account to connect GDACS to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated disaster triage with OpenAI Agents SDK
Your agent queries `get_alerts` to identify high-impact events across the globe. It filters by severity to ensure only red-coded alerts trigger your defined response protocols. This setup removes manual monitoring. Your agent handles the initial scan while you focus on high-level strategy and resource allocation.
Spatial risk mapping for your agent system
The `get_event_geojson` tool provides precise boundary data for active hazards. Your agent processes these polygons to map disaster zones against your supply chain infrastructure. This creates a clear visual output for your dashboard. You see exactly which assets fall within the danger zone without shifting to external GIS software.
Operational impact analysis with GDACS telemetry
Use `get_impacts` to pull estimated fatalities and economic losses for specific events. Your agent correlates this data with your internal records to gauge the severity of a disruption. It runs these checks automatically. You receive a report that quantifies the threat level before your team even starts the morning briefing.
Set up GDACS MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all GDACS tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives GDACS tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate GDACS tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="GDACS Agent",
instructions="You have access to GDACS tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GDACS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about GDACS MCP in OpenAI Agents SDK
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