How to Use the GDACS MCP in AutoGen

Q: How do I register GDACS tools with my AutoGen agents?

Install autogen-extmcp and use the MCP helper with your Vinkius HTTP URL. Pass the resulting tool list to your AutoGen assistant agents to grant them direct access to disaster telemetry.

Q: Can AutoGen agents filter GDACS alerts autonomously?

Yes. Your AutoGen agents can call getalerts with specific parameters to filter by event type or alert color. They discuss the results in their chat thread to decide if an event warrants further investigation.

Q: How do AutoGen agents resolve conflicting GDACS impact estimates?

Agents use getimpacts to retrieve modeled fatalities and economic losses alongside confidence levels. They debate these confidence parameters in the conversation history to reach a consensus on the actual risk level.

Let your AutoGen agents debate and coordinate disaster responses using real-time GDACS telemetry.

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Connect GDACS MCP to AutoGen

Create your Vinkius account to connect GDACS to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GDACS with AutoGen

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Multi-Agent Coordination via GDACS MCP Server

The GDACS MCP Server provides tools like `get_alerts` and `get_event_list` to fuel multi-agent debates in AutoGen. One agent can monitor the global feed for red alerts, while another analyzes the specific event details to assess operational risk. This division of labor prevents alert fatigue. Your agents share these MCP tool outputs directly in their conversation, negotiating response strategies based on real-time magnitude and alert levels.

Collaborative Spatial and Impact Analysis

The `get_event_geojson` tool delivers geographic boundaries and exposure polygons directly to your agent conversation. A mapping agent can digest these coordinates while a logistics agent queries `get_impacts` to evaluate potential supply chain disruptions. By combining spatial telemetry with estimated economic losses, the agents reach a consensus on whether to reroute shipments or pause local operations. This collaborative analysis happens entirely in code before any action is taken.

Automated Incident Verification and Deep Dives

Dedicated hazard tools like `get_latest_cyclones` and `get_latest_wildfires` allow your agents to run targeted checks on active threats. If a cyclone is detected, your coordinator agent tasks a specialist agent with fetching the forecast tracks. The agents then use `get_event_detail` and `get_alert_detail` to cross-reference the storm's severity. This multi-step validation ensures your systems only trigger emergency protocols when the telemetry confirms a genuine threat.

Setup guide

Set up GDACS MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes GDACS tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="GDACS_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent GDACS data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="GDACS_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent GDACS data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

Install `autogen-ext[mcp]` and use the MCP helper with your Vinkius HTTP URL. Pass the resulting tool list to your AutoGen assistant agents to grant them direct access to disaster telemetry.

Yes. Your AutoGen agents can call `get_alerts` with specific parameters to filter by event type or alert color. They discuss the results in their chat thread to decide if an event warrants further investigation.

Agents use `get_impacts` to retrieve modeled fatalities and economic losses alongside confidence levels. They debate these confidence parameters in the conversation history to reach a consensus on the actual risk level.

Your agents can monitor six hazard types. The server exposes tools like `get_latest_earthquakes`, `get_latest_floods`, `get_latest_droughts`, and `get_latest_volcanoes` to retrieve live telemetry globally.

The Vinkius runtime isolates this MCP server instance in an ephemeral, zero-trust sandbox. Your agents' private coordinates and telemetry queries are processed in memory and immediately discarded, ensuring no persistent logs or data leaks occur.

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