Pydantic AISDK

Gatus (Health Dashboard) MCP Server

Bring Service Health
to Pydantic AI

Name: Gatus (Health Dashboard) MCP Server
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

Learn how to connect Gatus (Health Dashboard) to Pydantic AI 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 Subscribers

Get Endpoint HealthGet Endpoint StatsGet MetricsList Endpoints

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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_endpoint_health

Get health status and recent results for a specific endpoint

get_endpoint_stats

Get performance statistics for a specific endpoint

get_metrics

Get Prometheus-compatible metrics from Gatus

list_endpoints

Get all monitored endpoints and their current status

Why Pydantic AI?

Pydantic AI validates every Gatus (Health Dashboard) tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Gatus (Health Dashboard) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Gatus (Health Dashboard) connection logic from agent behavior for testable, maintainable code

See it in action

Gatus (Health Dashboard) in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Gatus (Health Dashboard) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Gatus (Health Dashboard) to Pydantic AI 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Gatus (Health Dashboard) in Pydantic AI

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 Pydantic AI 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.

Unlock for AI Agents View full Gatus (Health Dashboard) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<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

The Vinkius Advantage

How Vinkius secures
Gatus (Health Dashboard) for Pydantic AI

Every tool call from Pydantic AI to the Gatus (Health Dashboard) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

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 Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Gatus (Health Dashboard) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.