Can I see failing services across all my hosts?

Yes! Use the `list_all_monitored_services` tool. The agent will return a comprehensive list of services, and you can ask it to filter for those in CRITICAL or WARNING states.

How do I apply changes I made in WATO through the agent?

Use the `activate_checkmk_changes` tool. Your agent will trigger the activation process in Checkmk, pushing all pending configurations to the monitoring core.

Where do I find my Checkmk Automation Secret?

Log in to your Checkmk site, go to 'Setup' -> 'Users', and edit your automation user. You will see the 'Automation secret' field there.

Checkmk MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Checkmk
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Checkmk "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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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 Checkmk MCP Server

Connect your Checkmk site to any AI agent and take full control of your IT infrastructure monitoring through natural conversation. Streamline how you manage complex server landscapes and service states.

Pydantic AI validates every Checkmk tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Host Oversight — List and retrieve detailed configuration and status for all monitored hosts natively
Service Intelligence — Access real-time monitoring data for services across your entire infrastructure flawlessly
Configuration Control — List folders, host groups, and service groups to understand your monitoring structure securely
Change Management — Manually activate pending configuration changes directly within your workspace flawlessly
Live Diagnostics — Retrieve plugin output and current states for specific services to troubleshoot issues in real-time
System Metadata — Access core site information and organizational configurations directly within your workspace

The Checkmk MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 Checkmk to Pydantic AI via MCP

Follow these steps to integrate the Checkmk MCP Server with Pydantic AI.

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 8 tools from Checkmk with type-safe schemas

Why Use Pydantic AI with the Checkmk MCP Server

Pydantic AI provides unique advantages when paired with Checkmk 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 Checkmk integration code

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

Dependency injection system cleanly separates your Checkmk connection logic from agent behavior for testable, maintainable code

Checkmk + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Checkmk MCP Server delivers measurable value.

Type-safe data pipelines: query Checkmk with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Checkmk tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Checkmk and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Checkmk responses and write comprehensive agent tests

Checkmk MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Checkmk to Pydantic AI via MCP:

activate_checkmk_changes

Activate pending configuration changes in Checkmk

get_host_details

Get detailed information for a specific host

list_all_monitored_services

List all services across all hosts

list_checkmk_folders

List configuration folders

list_checkmk_hosts

List all monitored hosts

list_host_groups

List configured host groups

list_host_services

List all monitored services for a specific host

list_service_groups

List configured service groups

Example Prompts for Checkmk in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Checkmk immediately.

"List all my hosts in Checkmk."

"Show me the services for host 'web-server-01' that are not OK."

"Activate my pending changes in Checkmk."

Troubleshooting Checkmk MCP Server with Pydantic AI

Common issues when connecting Checkmk to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Checkmk + Pydantic AI FAQ

Common questions about integrating Checkmk 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 Checkmk MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.