Gatus (Health Dashboard) MCP Server for Pydantic AIGive Pydantic AI instant access to 4 tools to Get Endpoint Health, Get Endpoint Stats, Get Metrics, and more

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

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gatus (Health Dashboard) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Gatus (Health Dashboard) MCP Server for Pydantic AI is a standout in the Cloud Infrastructure category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Gatus (Health Dashboard) "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Gatus (Health Dashboard)?"
    )
    print(result.data)

asyncio.run(main())

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

About Gatus (Health Dashboard) MCP Server

Connect your Gatus health dashboard to any AI agent to monitor your services and infrastructure through natural conversation.

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.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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

Get endpoint health on Gatus (Health Dashboard)

Get health status and recent results for a specific endpoint

get

Get endpoint stats on Gatus (Health Dashboard)

Get performance statistics for a specific endpoint

get

Get metrics on Gatus (Health Dashboard)

Get Prometheus-compatible metrics from Gatus

list

List endpoints on Gatus (Health Dashboard)

Get all monitored endpoints and their current status

Connect Gatus (Health Dashboard) to Pydantic AI via MCP

Follow these steps to wire Gatus (Health Dashboard) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from Gatus (Health Dashboard) with type-safe schemas

Why Use Pydantic AI with the Gatus (Health Dashboard) MCP Server

Pydantic AI provides unique advantages when paired with Gatus (Health Dashboard) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Gatus (Health Dashboard) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Gatus (Health Dashboard) connection logic from agent behavior for testable, maintainable code

Gatus (Health Dashboard) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Gatus (Health Dashboard) MCP Server delivers measurable value.

Type-safe data pipelines: query Gatus (Health Dashboard) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Gatus (Health Dashboard) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Gatus (Health Dashboard) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Gatus (Health Dashboard) responses and write comprehensive agent tests

Example Prompts for Gatus (Health Dashboard) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Gatus (Health Dashboard) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Gatus (Health Dashboard) + Pydantic AI FAQ

Common questions about integrating Gatus (Health Dashboard) MCP Server with Pydantic AI.

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.