How to Use the GDACS MCP in Google ADK

Q: How do I configure GDACS within the Google ADK framework?

Initialize an McpToolset with the Vinkius server URL. Pass this toolset into your LlmAgent configuration to expose the full suite of disaster monitoring tools.

Q: Can Google ADK restrict which GDACS tools I use?

You can pass a tool name filter to the McpToolset. This limits the agent's access to only the specific tools you want to authorize.

Connect GDACS data to your Google ADK agents to power enterprise decision-making with real-time hazard intelligence.

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Connect GDACS MCP to Google ADK

Create your Vinkius account to connect GDACS to Google ADK 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 Google ADK

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Global hazard monitoring in Google ADK

Your agent uses `get_latest_earthquakes` and `get_latest_cyclones` to track emerging threats. It maintains a constant pulse on global activity without human intervention. This provides a foundation for proactive logistics planning. You define the thresholds, and the agent monitors the feed 24/7.

Granular event detail for enterprise agents

The `get_event_detail` tool fetches specific information for any disaster in the system. Your agent retrieves the exact location and alert level to inform your Vertex AI workflows. This keeps your data pipelines clean. You only pull the specific event data required for your current analysis task.

Direct data ingestion for BigQuery integration

Use `get_latest_wildfires` or `get_latest_floods` to feed live data into your Google Cloud environment. Your agent reformats this output for direct storage and downstream processing. This bridges the gap between raw disaster reports and your analytical database. You build a historical record of hazard impacts without manual data entry.

Setup guide

Set up GDACS MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with GDACS tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="GDACS_agent",
    model="gemini-2.0-flash",
    instruction="You have access to GDACS tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

Initialize an `McpToolset` with the Vinkius server URL. Pass this toolset into your `LlmAgent` configuration to expose the full suite of disaster monitoring tools.

You can pass a tool name filter to the `McpToolset`. This limits the agent's access to only the specific tools you want to authorize.

Yes. You can feed large volumes of event data into the Gemini context window. This allows the agent to reason over entire weeks of disaster history.

The server supports both HTTP and Stdio. Choose the transport that fits your local development or cloud-deployed agent architecture.

We manage all auth via a single endpoint token. The server acts as an ephemeral sandbox, ensuring your disaster monitoring queries stay isolated from your primary cloud credentials.

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