What types of sensors are supported?

Environet supports temperature, humidity, differential pressure, airflow, water leak detection, and smoke sensors. These are typically deployed in server racks, raised floors, and UPS rooms.

Can I adjust alarm thresholds via the API?

Yes! Use the update_threshold action to modify high and low limits for specific sensors. This is useful for seasonal adjustments or when deploying new equipment with different thermal requirements.

Is the API accessible remotely?

Typically, the Environet API is hosted on the local infrastructure (on-premise server) where the Environet software is installed. You will need the internal IP or hostname and the API Key provided by your Vertiv admin.

Vertiv Environet MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Vertiv Environet
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Vertiv Environet through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Vertiv Environet Assistant",
            instructions=(
                "You help users interact with Vertiv Environet. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Vertiv Environet"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 10 tools from Vertiv Environet through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Vertiv Environet, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Vertiv Environet MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Vertiv Environet

Why Use OpenAI Agents SDK with the Vertiv Environet MCP Server

OpenAI Agents SDK provides unique advantages when paired with Vertiv Environet through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Vertiv Environet + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Vertiv Environet MCP Server delivers measurable value.

Automated workflows: build agents that query Vertiv Environet, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Vertiv Environet, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Vertiv Environet tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Vertiv Environet to resolve tickets, look up records, and update statuses without human intervention

Vertiv Environet MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Vertiv Environet to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Vertiv Environet to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Vertiv Environet + OpenAI Agents SDK FAQ

Common questions about integrating Vertiv Environet MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.