jlk/checkmk-llm-server

Checkmk MCP Server

Connect AI assistants like Claude to your Checkmk monitoring infrastructure using natural language. This MCP (Model Context Protocol) server enables conversational monitoring operations through any MCP-compatible client.

Why Use This?

Turn this: "I need to check if any hosts in the web farm are having CPU issues and acknowledge any problems for the next 2 hours while we investigate."

Into this: Just ask your AI assistant - it handles the API calls, finds the problems, and manages acknowledgments automatically.

What You Get

• Natural Language Monitoring: Talk to your infrastructure like you would a colleague
• MCP Standard Integration: Works with Claude Desktop, VS Code, and other MCP clients
• Complete Checkmk Coverage: Hosts, services, events, metrics, business intelligence
• Production Ready: Built for enterprise environments with caching, batching, and error recovery
• Easy Setup: Configure once, use everywhere

Quick Examples

# Start the MCP server
python mcp_checkmk_server.py --config config.yaml

Then in Claude Desktop or other MCP client:

• "Show me all critical problems in the infrastructure"
• "List services for server01"
• "Create a 2-hour downtime for database maintenance on prod-db-01"
• "What's the CPU usage trend for web servers this week?"
• "Acknowledge all disk space warnings with note 'investigating'"

Quick Start

Requirements

• Python 3.8+
• Checkmk 2.4.0+ server with REST API enabled
• MCP-compatible client (Claude Desktop, VS Code, etc.)

Setup

1. Install:

git clone https://github.com/jlk/checkmk_mcp_server
cd checkmk_mcp_server
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt

2. Configure (choose ONE method):

# Option A: YAML config (recommended for most users)
cp examples/configs/development.yaml config.yaml
# Edit config.yaml with your Checkmk server details

# Option B: Environment variables (better for production/containers)
cp .env.example .env
# Edit .env with your Checkmk server details

3. Run MCP Server:

# With YAML config
python mcp_checkmk_server.py --config config.yaml

# With environment variables
python mcp_checkmk_server.py

4. Connect your AI client (see detailed setup in )

That's it! Your AI assistant can now monitor your infrastructure.

Key Features

• 37 Monitoring Tools: Complete Checkmk operations through MCP protocol
• Natural Language Interface: Conversational monitoring and management
• Production Scale: Handle thousands of hosts with streaming and caching
• Smart Parameter Management: Intelligent defaults for different service types
• Historical Data Access: Scrape and analyze performance trends
• Event Management: Track, acknowledge, and manage infrastructure events
• Business Intelligence: Monitor high-level service health and SLAs

Client Setup

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "checkmk": {
      "command": "python",
      "args": ["/path/to/mcp_checkmk_server.py", "--config", "config.yaml"]
    }
  }
}

Other MCP Clients

Supports any MCP-compatible client including VS Code Continue extension. See for detailed setup instructions.

Documentation

• - Step-by-step setup and configuration
• - Practical examples and common workflows
• - Technical architecture and design decisions
• - Streaming, caching, batch operations
• - Common issues and solutions

What Can You Do?

Infrastructure Health: "Show me all critical problems and their business impact"

Service Management: "Create a 4-hour maintenance window for the database cluster"

Performance Analysis: "What's the CPU trend for web servers over the last week?"

Event Investigation: "Show me all disk-related events on server01 today"

Bulk Operations: "Acknowledge all network warnings until the upgrade completes"

Historical Analysis: "Extract temperature data for the server room from yesterday"

System Requirements

• Checkmk Version: 2.4.0+ (for Event Console, Metrics API, and Business Intelligence features)
• Python: 3.8 or higher
• Memory: Scales with infrastructure size (caching and streaming handle large environments efficiently)
• Network: Requires REST API access to Checkmk server

Support

For questions or issues:

1. Check the
2. Review
3. Create a new issue with detailed information

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Status: Production ready with full Checkmk 2.4 support including Event Console, Metrics API, and Business Intelligence features.