Pingdom 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 Pingdom through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Pingdom, 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 Pingdom MCP Server
Connect your Pingdom account to any AI agent and take full control of your website monitoring and reliability workflows through natural conversation.
The Vercel AI SDK gives every Pingdom 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 Visibility — List all monitoring checks and retrieve real-time status (up, down, unconfirmed).
- Performance Tracking — Fetch average response times and detailed outage history for any specific check.
- Log Auditing — Retrieve raw check results to investigate specific errors or latency spikes.
- Global Infrastructure Oversight — List all Pingdom probe locations to understand your monitoring coverage.
- Alert Management — List notification contacts and pause or resume checks during maintenance windows.
The Pingdom 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 Pingdom to Vercel AI SDK via MCP
Follow these steps to integrate the Pingdom 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 Pingdom and passes them to the LLM
Why Use Vercel AI SDK with the Pingdom MCP Server
Vercel AI SDK provides unique advantages when paired with Pingdom 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 Pingdom integration everywhere
Built-in streaming UI primitives let you display Pingdom 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
Pingdom + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Pingdom MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Pingdom in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Pingdom tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Pingdom capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Pingdom through natural language queries
Pingdom MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Pingdom to Vercel AI SDK via MCP:
get_average_response_time
Get average response time for a check
get_check_details
Get details for a specific check
get_check_outages
List outages for a specific check
list_alert_contacts
List alert notification contacts
list_check_results
List individual check results/logs
list_maintenance_windows
List scheduled maintenance windows
list_pingdom_probes
List all Pingdom monitoring locations (probes)
list_uptime_checks
List all Pingdom uptime checks
pause_uptime_check
Pause a specific uptime check
resume_uptime_check
Resume a specific uptime check
Example Prompts for Pingdom in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Pingdom immediately.
"List all my current uptime checks and their status."
"What was the average response time for the 'Main Site' check (ID: 12345) today?"
"Pause the uptime check for ID 98765 for our scheduled maintenance."
Troubleshooting Pingdom MCP Server with Vercel AI SDK
Common issues when connecting Pingdom to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPingdom + Vercel AI SDK FAQ
Common questions about integrating Pingdom 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 Pingdom 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 Pingdom to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.