Gatus (Health Dashboard) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 4 tools to Get Endpoint Health, Get Endpoint Stats, Get Metrics, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Gatus (Health Dashboard) 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 for Vercel AI SDK
The Gatus (Health Dashboard) MCP Server for Vercel AI SDK is a standout in the Cloud Infrastructure category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Gatus (Health Dashboard), 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 Gatus (Health Dashboard) MCP Server
Connect your Gatus health dashboard to any AI agent to monitor your services and infrastructure through natural conversation.
The Vercel AI SDK gives every Gatus (Health Dashboard) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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
- Global Visibility — List all monitored endpoints and their current health status across your entire infrastructure.
- Deep Health Inspection — Drill down into specific services to see recent results and status history using slugified keys.
- Performance Statistics — Retrieve performance metrics for individual endpoints to identify latency or reliability issues.
- Metrics Export — Access raw Prometheus-compatible metrics for deep technical analysis and custom reporting.
The Gatus (Health Dashboard) MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 Gatus (Health Dashboard) tools available for Vercel AI SDK
When Vercel AI SDK connects to Gatus (Health Dashboard) through Vinkius, your AI agent gets direct access to every tool listed below — spanning service-health, uptime-monitoring, infrastructure-alerts, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get endpoint health on Gatus (Health Dashboard)
Get health status and recent results for a specific endpoint
Get endpoint stats on Gatus (Health Dashboard)
Get performance statistics for a specific endpoint
Get metrics on Gatus (Health Dashboard)
Get Prometheus-compatible metrics from Gatus
List endpoints on Gatus (Health Dashboard)
Get all monitored endpoints and their current status
Connect Gatus (Health Dashboard) to Vercel AI SDK via MCP
Follow these steps to wire Gatus (Health Dashboard) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Gatus (Health Dashboard) MCP Server
Vercel AI SDK provides unique advantages when paired with Gatus (Health Dashboard) 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 Gatus (Health Dashboard) integration everywhere
Built-in streaming UI primitives let you display Gatus (Health Dashboard) 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
Gatus (Health Dashboard) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Gatus (Health Dashboard) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Gatus (Health Dashboard) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Gatus (Health Dashboard) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Gatus (Health Dashboard) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Gatus (Health Dashboard) through natural language queries
Example Prompts for Gatus (Health Dashboard) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Gatus (Health Dashboard) immediately.
"List all monitored endpoints and their current status."
"What is the health status of the 'core-api' endpoint?"
"Show me the performance statistics for 'database-service'."
Troubleshooting Gatus (Health Dashboard) MCP Server with Vercel AI SDK
Common issues when connecting Gatus (Health Dashboard) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGatus (Health Dashboard) + Vercel AI SDK FAQ
Common questions about integrating Gatus (Health Dashboard) 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.Explore More MCP Servers
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