How to Use the Fire Safety Calculator MCP in Mastra AI
Build resilient code compliance pipelines using Mastra AI's advanced workflow engine.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Fire Safety Calculator MCP to Mastra AI
Create your Vinkius account to connect Fire Safety Calculator to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Key Capabilities
Check Evacuation Path Compliance
The `calculate_max_walking_distance` tool determines if an area's evacuation paths meet local codes, returning compliance status and violation details. It handles complex geographical inputs for thorough analysis. This is ideal when you need reliable failure handling. If one check fails, the workflow can automatically trigger a retry or notify an admin without human intervention.
Determine Stair Width Needs
You can calculate minimum stair width based on population load and module definition using `determine_min_stair_width`. The output includes safe design recommendations and necessary safety buffers. Mastra AI’s built-in workflow engine ensures that even if a calculation requires multiple data points, the entire process completes gracefully, handling retries with exponential backoff.
Map Fire Equipment Density
Determine required fire extinguisher quantity and type distribution by area and risk class with `specify_extinguisher_requirement`. It provides clear compliance notes for placement. Because Mastra AI supports requiring tool approval, you can build a workflow that forces a human review step after the Fire Safety Calculator runs its most critical checks.
Set up Fire Safety Calculator MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Fire Safety Calculator tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "fire-safety-calculator-mcp-client",
servers: {
"fire-safety-calculator-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Fire Safety Calculator Agent",
model: openai("gpt-4o"),
instructions: "You have access to Fire Safety Calculator tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Fire Safety Calculator transactions"
);
console.log(result.text); 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 Mastra AI
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