Vertiv Environet MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vertiv Environet through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Vertiv Environet, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Vertiv Environet tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Vertiv Environet MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Vertiv Environet and passes them to the LLM
Why Use Vercel AI SDK with the Vertiv Environet MCP Server
Vercel AI SDK provides unique advantages when paired with Vertiv Environet through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Vertiv Environet integration everywhere
Built-in streaming UI primitives let you display Vertiv Environet tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Vertiv Environet + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vertiv Environet MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vertiv Environet in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vertiv Environet tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vertiv Environet capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vertiv Environet through natural language queries
Vertiv Environet MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Vertiv Environet to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Vertiv Environet to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVertiv Environet + Vercel AI SDK FAQ
Common questions about integrating Vertiv Environet MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Vertiv Environet with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.