I
initMAX/zabbix-mcp-server
The Zabbix API, including alerts and PDF reports
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"initmax-zabbix-mcp-server": {
"command": "npx",
"args": ["@modelcontextprotocol/inspector"]
}
}
}解析自我们于 2026-11-07 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"initmax-zabbix-mcp-server": {
"command": "npx",
"args": ["@modelcontextprotocol/inspector"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio initmax-zabbix-mcp-server -- npx @modelcontextprotocol/inspector
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx @modelcontextprotocol/inspector
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx @modelcontextprotocol/inspector。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-11-05；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
Zabbix MCP Server
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
developed and maintained by
and community
Full Zabbix API access from Claude, Codex, VS Code, JetBrains, and other MCP clients.
## Table of Contents
Overview: What is this? · Features
Install: Quick Start · Installation · Upgrade · First-time admin access
Configure: Reference · OAuth 2.1 · Public URL · TLS / HTTPS · Token Budget
Use: Client Wizard · AI Clients · Prompts · Tools · Parameters · Round trip · Time zones · PDF Reports
Operate: Installer CLI · Update notifications · Compatibility · Zabbix 8.0 MCP server · Development · Related Projects · License
## What is this?
MCP (Model Context Protocol) is an open standard that lets AI assistants (ChatGPT, Claude, VS Code Copilot, JetBrains AI, Codex, and others) use external tools. This server exposes the entire Zabbix API as MCP tools — allowing any compatible AI assistant to query hosts, check problems, manage templates, acknowledge events, and perform any other Zabbix operation.
The server runs as a standalone HTTP service. AI clients connect to it over the network.
## Features
Complete API coverage - All 68 Zabbix API groups (241 tools): hosts, problems, triggers, templates, users, dashboards, and more
Extension tools (14) - Pre-correlated views: host_status_get, hostgroup_overview_get, infrastructure_summary_get, item_history_summary_get, problem_active_get (fold 3-5 raw API calls into one round-trip). Plus graph_render (PNG export), anomaly_detect (z-score analysis), capacity_forecast (linear regression), item_threshold_search (filter items by lastvalue thresholds), report_generate (PDF reports), action_prepare/action_confirm (two-step write approval), health_check (server diagnostics) and zabbix_raw_api_call (admin escape hatch for un-wrapped methods).
Admin web portal - Full web UI on port 9090 for managing tokens, users, servers, templates, settings, and audit log; dark/light mode; point-and-click Client MCP Wizard (beta) that generates copy-paste-ready config snippets for 14 AI clients (Claude, Codex, Cursor, Cline, VS Code, JetBrains, Goose, Open WebUI, 5ire, Gemini CLI, n8n, ...)
Multi-token authentication - Named tokens with scopes, IP restrictions, server binding, expiry; managed via admin portal, CLI (generate-token), or config.toml
Multi-server support - Connect to multiple Zabbix instances (production, staging, ...) with separate tokens
HTTP + SSE transports - Streamable HTTP (recommended) and SSE for clients like n8n that lack session management
Tool filtering - Limit exposed tools by category (monitoring, alerts, users, extensions, etc.) or individual API prefix to reduce the tool catalog size and stay under LLM context limits (see Token Budget below)
Compact output mode - Get methods return only key fields by default, reducing response token usage; LLM can request extend for full details
LLM-friendly normalizations - Symbolic enum names, auto-fill defaults, preprocessing cleanup, timestamp conversion with local-time rendering ( _local siblings and a per-call zone note, see Time zones)
Single config file - One TOML file, no scattered environment variables
Read-only mode - Per-server and per-token write protection to prevent accidental changes
and community
Full Zabbix API access from Claude, Codex, VS Code, JetBrains, and other MCP clients.
## Table of Contents
Overview: What is this? · Features
Install: Quick Start · Installation · Upgrade · First-time admin access
Configure: Reference · OAuth 2.1 · Public URL · TLS / HTTPS · Token Budget
Use: Client Wizard · AI Clients · Prompts · Tools · Parameters · Round trip · Time zones · PDF Reports
Operate: Installer CLI · Update notifications · Compatibility · Zabbix 8.0 MCP server · Development · Related Projects · License
## What is this?
MCP (Model Context Protocol) is an open standard that lets AI assistants (ChatGPT, Claude, VS Code Copilot, JetBrains AI, Codex, and others) use external tools. This server exposes the entire Zabbix API as MCP tools — allowing any compatible AI assistant to query hosts, check problems, manage templates, acknowledge events, and perform any other Zabbix operation.
The server runs as a standalone HTTP service. AI clients connect to it over the network.
## Features
Complete API coverage - All 68 Zabbix API groups (241 tools): hosts, problems, triggers, templates, users, dashboards, and more
Extension tools (14) - Pre-correlated views: host_status_get, hostgroup_overview_get, infrastructure_summary_get, item_history_summary_get, problem_active_get (fold 3-5 raw API calls into one round-trip). Plus graph_render (PNG export), anomaly_detect (z-score analysis), capacity_forecast (linear regression), item_threshold_search (filter items by lastvalue thresholds), report_generate (PDF reports), action_prepare/action_confirm (two-step write approval), health_check (server diagnostics) and zabbix_raw_api_call (admin escape hatch for un-wrapped methods).
Admin web portal - Full web UI on port 9090 for managing tokens, users, servers, templates, settings, and audit log; dark/light mode; point-and-click Client MCP Wizard (beta) that generates copy-paste-ready config snippets for 14 AI clients (Claude, Codex, Cursor, Cline, VS Code, JetBrains, Goose, Open WebUI, 5ire, Gemini CLI, n8n, ...)
Multi-token authentication - Named tokens with scopes, IP restrictions, server binding, expiry; managed via admin portal, CLI (generate-token), or config.toml
Multi-server support - Connect to multiple Zabbix instances (production, staging, ...) with separate tokens
HTTP + SSE transports - Streamable HTTP (recommended) and SSE for clients like n8n that lack session management
Tool filtering - Limit exposed tools by category (monitoring, alerts, users, extensions, etc.) or individual API prefix to reduce the tool catalog size and stay under LLM context limits (see Token Budget below)
Compact output mode - Get methods return only key fields by default, reducing response token usage; LLM can request extend for full details
LLM-friendly normalizations - Symbolic enum names, auto-fill defaults, preprocessing cleanup, timestamp conversion with local-time rendering ( _local siblings and a per-call zone note, see Time zones)
Single config file - One TOML file, no scattered environment variables
Read-only mode - Per-server and per-token write protection to prevent accidental changes
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/initmax-zabbix-mcp-server/)
- 来源
- awesome · https://github.com/initMAX/zabbix-mcp-server
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