How to Use the Everbridge Critical Management MCP in Google ADK

Q: How do I integrate Everbridge Critical Management with a Google ADK agent?

You create an McpToolset instance, pointing it to your Vinkius server URL. Then you pass that toolset into your LlmAgent's tool list. The ADK handles the tool discovery and execution.

Q: Is it possible to filter which Everbridge Critical Management tools are exposed to my Google ADK agent?

Yes, the McpToolset constructor in the Google ADK accepts a toolnames argument. You can provide a specific list of tool names, and the agent will only be able to see and use those.

Link Google's Gemini agents to your Everbridge data for enterprise-scale incident analysis.

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Connect Everbridge Critical Management MCP to Google ADK

Create your Vinkius account to connect Everbridge Critical Management 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 Everbridge Critical Management with Google ADK

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Analyze Incidents with BigQuery

Your Gemini agent can now pull incident histories from Everbridge and feed them into your Google Cloud ecosystem. Use `list_critical_incidents` to get a full list of events, then `get_incident_detailed_data` for each one to build a complete dataset. From there, the agent can push this structured data into BigQuery for long-term analysis. This connects your crisis comms directly to your data warehouse, perfect for building dashboards in Looker Studio or training custom models in Vertex AI.

Manage Contact Lists at Scale

Don't let your contact data get stale. Have a Google ADK agent periodically run `list_critical_contacts` and `list_contact_distribution_groups` to audit your Everbridge setup. Your agent can cross-reference these lists with your employee directory in Google Workspace or another HR system. Because Gemini handles massive context, you can feed it entire contact lists to find discrepancies or identify gaps in your notification strategy.

Use this MCP Server with Gemini's Long Context

Get a complete operational picture in a single prompt. Your agent can call `quick_crisis_event_audit` for a summary, then follow up with `list_critical_notifications` to pull the status of every message sent. Feed all that raw data directly into a Gemini 1.5 Pro model. Its huge context window lets it reason over the entire situation at once, providing summaries and insights that smaller models would miss. This MCP Server gives your agent the raw data it needs to do that work.

Setup guide

Set up Everbridge Critical Management 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 Everbridge Critical Management 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="Everbridge Critical Management_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Everbridge Critical Management 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 Everbridge Critical Management. 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 Everbridge Critical Management MCP in Google ADK

You create an `McpToolset` instance, pointing it to your Vinkius server URL. Then you pass that toolset into your `LlmAgent`'s tool list. The ADK handles the tool discovery and execution.

Absolutely. The Google ADK and this MCP connection work perfectly in Colab. It's a great way to prototype and test agent logic for pulling data with tools like `list_high_severity_incidents` before deploying it.

It's the native integration with Google Cloud. You can build agents that not only query Everbridge for incident data but also trigger Cloud Functions, write to BigQuery, and use Vertex AI, all within the same agentic workflow.

Yes, the `McpToolset` constructor in the Google ADK accepts a `tool_names` argument. You can provide a specific list of tool names, and the agent will only be able to see and use those.

Your agent will primarily handle incident details and notification statuses via tools like `get_incident_detailed_data`. Your Vinkius endpoint token secures the connection, and each request is handled in a dedicated, sandboxed environment that is destroyed after use.

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