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UptimeRobot MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect UptimeRobot through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 UptimeRobot, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
UptimeRobot
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IAMAccess control
EU AI ActCompliant
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V8 IsolateSandboxed
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<40msKill switch
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 UptimeRobot MCP Server

Connect your UptimeRobot account to any AI agent to actively manage your website monitors, alert contacts, and response times directly from your conversational workspace.

The Vercel AI SDK gives every UptimeRobot 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

  • Uptime Monitors — List all configured services natively, retrieve individual historical logs, create new endpoints to monitor (HTTP, Ping), edit configurations, or permanently delete monitors.
  • Alert Contacts — Browse your configured alert notification targets (Email, Slack, Webhooks), create new distribution recipients, and manage who gets notified upon downtime.
  • Metrics & History — Reset historical statistics for specific monitors quickly or retrieve the raw data array of up ratios and response times to graph or analyze.
  • Account Setup — Extract UptimeRobot account usage to discover your remaining monitor slots limits and overall subscription features.

The UptimeRobot 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 UptimeRobot to Vercel AI SDK via MCP

Follow these steps to integrate the UptimeRobot MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from UptimeRobot and passes them to the LLM

Why Use Vercel AI SDK with the UptimeRobot MCP Server

Vercel AI SDK provides unique advantages when paired with UptimeRobot through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same UptimeRobot integration everywhere

03

Built-in streaming UI primitives let you display UptimeRobot tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

UptimeRobot + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the UptimeRobot MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query UptimeRobot in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate UptimeRobot tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed UptimeRobot capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with UptimeRobot through natural language queries

UptimeRobot MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect UptimeRobot to Vercel AI SDK via MCP:

01

create_alert_contact

Type 2=Email, 11=Slack. Creates a new alert notification target

02

create_uptime_monitor

Provide a friendly name, URL, and type (1=HTTP, 3=Ping). Creates a new uptime monitor

03

delete_alert_contact

This action is irreversible. Permanently deletes an alert contact

04

delete_uptime_monitor

This action is irreversible. Permanently deletes an uptime monitor

05

get_account_info

Retrieves UptimeRobot account usage and limits

06

get_monitor_details

Retrieves full details for a specific UptimeRobot monitor

07

list_alert_contacts

Lists all configured alert notification targets (Email, Slack, Webhook, etc.)

08

list_monitors

Returns pass/fail status, up ratio, and response times. Lists all uptime monitors configured in UptimeRobot

09

reset_monitor_logs

Resets monitoring logs and statistics for a specific monitor

10

update_uptime_monitor

Updates an existing monitor configuration

Example Prompts for UptimeRobot in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with UptimeRobot immediately.

01

"List all my monitors and highlight any that are currently down."

02

"Create an HTTP monitor for our newly deployed marketing site (`https://marketing.vinkius.com/`)."

03

"Delete alert contact 'old-devops@acme.com'. Our team rotated users."

Troubleshooting UptimeRobot MCP Server with Vercel AI SDK

Common issues when connecting UptimeRobot to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

UptimeRobot + Vercel AI SDK FAQ

Common questions about integrating UptimeRobot MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect UptimeRobot to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.