How to Use the Fire Safety Calculator MCP in Google ADK

Run complex fire code analysis using the Google ADK on your existing BigQuery data.

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Connect Fire Safety Calculator MCP to Google ADK

Create your Vinkius account to connect Fire Safety Calculator 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 Fire Safety Calculator with Google ADK

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Calculate Structural Safety Metrics

Start by running `calculate_max_walking_distance` to verify evacuation paths against local codes. The result is a clear compliance status, pinpointing any violations related to travel distance. Need more metrics? You can use the `determine_min_stair_width` toolset for population load analysis, getting specific recommendations and safety buffers.

Design Fire Safety Systems

The system lets you determine required fire extinguisher quantities and types using `specify_extinguisher_requirement`. It analyzes the risk class by area to guide placement decisions. This MCP Server also runs compliance checks on maximum walking distance, making it a powerful single source of structural truth.

Automate Code Audits in Google Cloud

Because your agents are running on Google Cloud, you can integrate this MCP to automate full audits. Your agent calls tools like `calculate_max_walking_distance` and then immediately follows up with a call to check the minimum stair width. It's ideal for building pipelines that validate everything from egress paths to extinguisher density.

Setup guide

Set up Fire Safety Calculator 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 Fire Safety Calculator 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="Fire Safety Calculator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fire Safety Calculator tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Fire Safety Calculator MCP in Google ADK

You use it as a toolset within your LlmAgent, letting your agent execute code-based calculations. This means you can feed data directly from BigQuery into the MCP for immediate analysis.

It requires occupancy load counts and structural measurements, specifically focusing on area definitions, path lengths, and population density profiles.

Yes. Since the toolset supports HTTP transport, your agent can check compliance status immediately after a data change in your cloud environment.

It calculates mandatory requirements for things like minimum stair width and maximum walking distance. Your agent uses the most restrictive code set available to ensure compliance.

The MCP only processes structural dimensions and occupancy counts. Your credentials pass through Vinkius' zero-trust proxy, so keys never sit on disk.

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