Bring Service Health
to Vercel AI SDK
Learn how to connect Gatus (Health Dashboard) to Vercel AI SDK and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Gatus (Health Dashboard) MCP Server?
Connect your Gatus health dashboard to any AI agent to monitor your services and infrastructure through natural conversation.
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.
How it works
- Subscribe to this server
- Enter your Gatus instance URL
- Start monitoring your system health from Claude, Cursor, or any MCP-compatible client.
No more manual dashboard checking. Your AI acts as a 24/7 SRE assistant, providing instant insights into your service availability.
Who is this for?
- DevOps Engineers — quickly audit service health and retrieve raw metrics without leaving the terminal or IDE.
- SRE Teams — investigate performance regressions and endpoint history through natural language queries.
- Product Owners — get high-level status reports on system availability during incidents.
Built-in capabilities (4)
Get health status and recent results for a specific endpoint
Get performance statistics for a specific endpoint
Get Prometheus-compatible metrics from Gatus
Get all monitored endpoints and their current status
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Gatus (Health Dashboard) integration everywhere
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Built-in streaming UI primitives let you display Gatus (Health Dashboard) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Gatus (Health Dashboard) in Vercel AI SDK
Gatus (Health Dashboard) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gatus (Health Dashboard) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Gatus (Health Dashboard) in Vercel AI SDK
The Gatus (Health Dashboard) 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Gatus (Health Dashboard) for Vercel AI SDK
Every tool call from Vercel AI SDK to the Gatus (Health Dashboard) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see the status of all my services at once?
Yes! Use the list_endpoints tool to retrieve a complete list of all configured endpoints and their current health status across your Gatus instance.
How do I check the performance history of a specific service?
You can use get_endpoint_stats with the endpoint's slugified key to see detailed performance statistics, or get_endpoint_health for recent health check results.
Does this server provide raw metrics for analysis?
Yes, the get_metrics tool retrieves raw Prometheus-compatible metrics exported by Gatus, allowing your AI to perform deep technical analysis.
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.
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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