vibeMK
Enables complete management of CheckMK monitoring environments through natural language, including live monitoring, downtime scheduling, problem management, and configuration.
README
vibeMK 🚀
CheckMK Monitoring via LLM - Professional MCP Server
🎯 Overview
vibeMK enables complete management of your CheckMK monitoring environment directly through LLM interfaces using natural language. This project is in the alpha stage and under development. I accept no liability for any damage resulting from the use of this software.
vibeMK - Current Features
Live Monitoring ✅
- Host Status: Real-time host state (UP/DOWN/UNREACHABLE) with hard state detection
- Service Status: Live service monitoring (OK/WARNING/CRITICAL/UNKNOWN)
- Performance Metrics: Retrieve metrics data with automatic discovery
- Current Problems: Auto-detect all active monitoring issues
Downtime Management ✅
- Schedule Downtimes: Create host/service downtimes with flexible duration parsing ("2h", "1h30m")
- List & Filter: View all downtimes or filter for active ones only
Problem Management ✅
- Acknowledge Problems: Set acknowledgements for host/service issues (sticky/persistent options)
- List Acknowledgements: View all current problem acknowledgements
- Remove Acknowledgements: Delete by pattern or individual removal
Configuration Management ✅
- Folders: Create/delete monitoring folder structures
- Rules: Create rules for 2000+ CheckMK ruleset types with proper format handling
- Time Periods: Create custom notification schedules (business hours, 24/7, etc.)
- Host Groups: Organize hosts into logical groups
User & Security ✅
- User Accounts: Create/manage user accounts with role assignment
- Password Management: Set passwords with policy enforcement
- Contact Groups: Manage notification groups
- Host/Service Tags: Comprehensive tagging system
🚀 Quick Start
1. git clone https://github.com/chexma/vibeMK.git
2. Edit the configuration file of your LLM Client, e.g. Claude Desktop - claude_desktop_config.json (See examples)
3. Start your LLM Client
4. CheckMK automation user setup (Administrator permissions or a customized role if changes are to be made, read-only if only analyses are to be performed.)
5. voila - configure checkmk using natural language
Complete Installation Guide: See INSTALL.md for detailed step-by-step instructions.
More Examples: See examples/llm_configs/ and INSTALL.md
Visual Examples: See examples/Screenshots/ for example prompts and usage patterns
💡 Practical Prompt Examples
# Add new server
"Create a new host 'web-server-05' in folder 'Servers' with IP 192.168.1.105 and discover all services"
# Schedule maintenance
"Schedule a 2-hour downtime for the service Check_MK on 'cephnode01' starting at 22:00 tomorrow for 'Debian Updates'"
# Downtimes
"show me all current scheduled downtimes."
# Metric analysis
"Compare the “response_time” metric of the “HTTPS Webservice” service of the two hosts www.google.de and www.heise.de for the last ten minutes."
# Ruleset analysis
"analyze and compare the rulesets "Filesystems (used space and growth)" and see, if there are duplicates or if rules can be combined."
Advanced Usage: See examples/ExamplePrompts.md for complex scenarios and tips
📚 Checkmk version compatibility
| CheckMK Version | Compatibility | Features |
|---|---|---|
| 2.4.x | ✅ Full | All features available |
| 2.3.x | ✅ Full | All features available |
| 2.2.x | ⚠️ Untested | |
| 2.1.x | ⚠️ Untested | |
| 2.0.x | ⚠️ Untested | |
| 1.6.x | 🔴 Unsupported |
Checkmk Edition Support
- Raw Edition: Basic functions available
- Enterprise Edition: All features including BI, Agent Bakery, Metrics
- Cloud Edition: All Enterprise features
Security considerations
- Be aware of the potential security risks when you unleash AI on your checkmk
- Use at your own risk
- I accept no responsibility for actions performed by an AI
📄 License
This project is licensed under the GNU General Public License v3.0.
Happy Monitoring with CheckMK and LLMs! 🎉
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。