Vertiv Environet MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Vertiv Environet through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"vertiv-environet": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Vertiv Environet Agent",
instructions:
"You help users interact with Vertiv Environet " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Vertiv Environet?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Vertiv Environet MCP Server
Connect Vertiv Environet Alert to any AI agent and gain real-time visibility into your critical infrastructure's environmental health — temperature, humidity, water leaks, smoke, and active alarms.
Mastra's agent abstraction provides a clean separation between LLM logic and Vertiv Environet tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Site Management — List all monitored facilities and data centers
- Sensor Monitoring — Retrieve real-time readings from temperature, humidity, and airflow sensors
- Active Alerts — View and filter active alarms by severity (Critical, Major, Minor)
- Alert Acknowledgement — Acknowledge alerts to track operator response and maintain audit trails
- Threshold Management — View and update high/low limits for environmental sensors
- Alert History — Analyze historical alarm data for root cause analysis and SLA reporting
- System Health — Verify the monitoring platform's operational status
- Audit Logs — Review user activity and configuration changes for compliance
The Vertiv Environet MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Vertiv Environet to Mastra AI via MCP
Follow these steps to integrate the Vertiv Environet MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Vertiv Environet via MCP
Why Use Mastra AI with the Vertiv Environet MCP Server
Mastra AI provides unique advantages when paired with Vertiv Environet through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Vertiv Environet without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Vertiv Environet tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Vertiv Environet + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Vertiv Environet MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Vertiv Environet, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Vertiv Environet as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Vertiv Environet on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Vertiv Environet tools alongside other MCP servers
Vertiv Environet MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Vertiv Environet to Mastra AI via MCP:
acknowledge_alert
Requires the alertId and the userId of the operator acknowledging it. Acknowledged alerts are removed from the "active" list and moved to history. Essential for audit trails and shift handovers. Acknowledge an active alarm to indicate it is being investigated
get_active_alerts
Can filter by severity (Critical, Major, Minor, Warning) or by site. Critical alerts often indicate immediate risk to equipment or operations. Use this to prioritize operational response. Get currently active environmental alarms and warnings
get_alert_history
Optional siteId and limit parameters. Use this for root cause analysis, SLA reporting, or identifying recurring environmental issues. View historical alarm records for analysis and reporting
get_sensor_reading
Use this for precise monitoring of critical assets (e.g., specific server rack temperature or UPS room humidity). Get the current real-time reading from a specific sensor
get_sensors
Optional siteId filters results to a specific facility. Use this to discover available monitoring points. List environmental sensors deployed across monitored sites
get_sites
Use this to identify which site IDs to use for further filtering of sensors and alerts. List all monitored sites and facilities in the Environet system
get_system_health
Use this to verify if the monitoring platform is online and functioning correctly before trusting sensor data. Check the operational status of the Environet monitoring system itself
get_thresholds
Optional sensorId filters to a specific sensor. Use this to audit current safety limits and ensure they match operational requirements. View configured alarm thresholds for sensors
get_user_activity
Use this for security auditing and operational compliance. View audit log of user actions within the Environet system
update_threshold
Changes trigger new alarms if readings cross the new boundaries. Use this to adjust sensitivity based on seasonal changes or equipment updates. Modify alarm thresholds for a sensor
Example Prompts for Vertiv Environet in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Vertiv Environet immediately.
"Show me all critical environmental alerts right now."
"What's the current temperature in Server Room B?"
"Acknowledge alert ID 98765 by operator Admin."
Troubleshooting Vertiv Environet MCP Server with Mastra AI
Common issues when connecting Vertiv Environet to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpVertiv Environet + Mastra AI FAQ
Common questions about integrating Vertiv Environet MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Vertiv Environet with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Vertiv Environet to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.