What problem does it solve? Connecting AI assistants to Zabbix monitoring normally requires wrapping 100+ individual API endpoints, which consumes excessive LLM context and complicates integration. This Skill bridges AI assistants with Zabbix infrastructure through just 3 unified tools, minimizing context usage while retaining complete API access. ## Core Features & Use Cases - Universal API Access: Execute any of the 100+ Zabbix API methods (hosts, items, triggers, problems, history) through a single zabbix_api tool. - Built-in Discovery and Documentation: Use zabbix_api_list and zabbix_api_docs to discover available methods and retrieve parameter documentation at runtime. - Layered Security Controls: Enforce read-only mode, regex-based method whitelists/blacklists, SSL verification, and request timeouts via environment variables. - Use Case: Ask your AI assistant to list all active critical problems across production hosts; it calls problem.get filtered by severity, returning acknowledged status and timestamps for your incident dashboard. ## Quick Start Configure the Zabbix MCP server with your ZABBIX_URL and API token, then ask your AI assistant to list all monitored hosts and their current problems.