I
initMAX/zabbix-mcp-server
The Zabbix API, including alerts and PDF reports
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"initmax-zabbix-mcp-server": {
"command": "npx",
"args": ["@modelcontextprotocol/inspector"]
}
}
}Parsed from the README we fetched on 2026-11-07; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"initmax-zabbix-mcp-server": {
"command": "npx",
"args": ["@modelcontextprotocol/inspector"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio initmax-zabbix-mcp-server -- npx @modelcontextprotocol/inspector
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx @modelcontextprotocol/inspector
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx @modelcontextprotocol/inspector. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
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
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