How to Use the Fire Safety Calculator MCP in CrewAI

Run compliance checks across specialized agents using CrewAI's multi-agent collaboration framework.

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Connect Fire Safety Calculator MCP to CrewAI

Create your Vinkius account to connect Fire Safety Calculator to CrewAI 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 CrewAI

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Check Evacuation Path Compliance

Assign a dedicated agent to verify evacuation paths by calling `calculate_max_walking_distance`. This tool returns compliance status and details any specific violations found along the route. The power here is role-based specialization. One agent focuses purely on the distance calculation, ensuring its output feeds directly into another agent for final reporting.

Determine Stair Width Needs

A specialized structural agent can determine minimum stair width based on population load and module definition using `determine_min_stair_width`. It provides a safe design recommendation with buffers. This is perfect for autonomous operations. You set up an agent hierarchy where the initial calculation triggers subsequent analysis without human intervention.

Map Fire Equipment Density

Use a dedicated risk assessment agent to determine required fire extinguisher quantity and type distribution by area and risk class via `specify_extinguisher_requirement`. The output includes clear compliance notes. The shared memory of the crew lets agents pass complex, multi-layered data—like combining occupancy load with required extinguisher density—to build a single, comprehensive report.

Setup guide

Set up Fire Safety Calculator MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Fire Safety Calculator tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Fire Safety Calculator Analyst",
    goal="Access and analyze Fire Safety Calculator data via MCP.",
    backstory="Expert analyst with direct Fire Safety Calculator access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Fire Safety Calculator transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Fire Safety Calculator Analyst",
        goal="Access and analyze Fire Safety Calculator data via MCP.",
        backstory="Expert analyst with direct Fire Safety Calculator access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Fire Safety Calculator transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Fire Safety Calculator API. 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 Fire Safety Calculator MCP in CrewAI

You don't run it as one agent; you create a crew. One agent can research the code requirements while another uses the Fire Safety Calculator to perform calculations, and a third synthesizes the final report.

The server deals with structural design metrics like population load, which is critical for determining both minimum stair widths and appropriate extinguisher placement across different risk classes.

Yes. The crew model excels at this. You can have one agent validate distance requirements while another validates equipment density, and a third coordinates the final verdict.

Since you are using specialized agents for each tool call, you gain high reliability. Each role focuses on one aspect of compliance, reducing the chance of error across different domains.

You assign a dedicated monitoring agent whose sole job is watching the session logs. This agent ensures that all tools, including those from the Fire Safety Calculator, run correctly and report their findings.

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