Checkly MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Checkly 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 Checkly, 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 Checkly MCP Server
Connect your Checkly account to any AI agent and take full control of your application monitoring and synthetic testing through natural conversation. Streamline how you ensure the uptime and performance of your APIs and web apps.
The Vercel AI SDK gives every Checkly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Check Oversight — List and retrieve details for all API and Browser monitors natively
- Live Execution — Manually trigger check runs to verify system health on-demand flawlessly
- Performance Intelligence — Access detailed performance metrics and response times for any monitor securely
- Alert Management — List and audit all configured alert channels (Slack, Email, PagerDuty) flawlessly
- Reliability Tracking — Monitor heartbeat and cron jobs to ensure your background tasks are running flawlessly
- System Metadata — Retrieve core account information and organizational structures directly within your workspace
The Checkly MCP Server exposes 8 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 Checkly to Vercel AI SDK via MCP
Follow these steps to integrate the Checkly 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 8 tools from Checkly and passes them to the LLM
Why Use Vercel AI SDK with the Checkly MCP Server
Vercel AI SDK provides unique advantages when paired with Checkly 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 Checkly integration everywhere
Built-in streaming UI primitives let you display Checkly 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
Checkly + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Checkly MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Checkly in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Checkly tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Checkly capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Checkly through natural language queries
Checkly MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Checkly to Vercel AI SDK via MCP:
get_check_details
Get detailed information for a specific check
get_check_performance_metrics
Retrieve performance metrics for a specific check
get_checkly_account_info
Retrieve core account and organization metadata
list_check_groups
List groups of checks
list_checkly_alert_channels
List all configured alert channels (Slack, Email, PagerDuty, etc)
list_checkly_checks
List all API and Browser checks
list_checkly_heartbeats
List all heartbeat (cron) monitors
trigger_check_run
Manually trigger a check to run immediately
Example Prompts for Checkly in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Checkly immediately.
"List all my monitors in Checkly and their last status."
"Show me the response time graph for the 'Checkout Flow' check."
"Check the status of my heartbeat monitors."
Troubleshooting Checkly MCP Server with Vercel AI SDK
Common issues when connecting Checkly to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCheckly + Vercel AI SDK FAQ
Common questions about integrating Checkly 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 Checkly 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 Checkly to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.