"Information about Zabbix monitoring software" matching MCP servers:

Exposes the complete Zabbix API functionality through the Model Context Protocol, mapping API methods to tools for managing hosts, triggers, and monitoring data. It enables seamless integration and control of Zabbix monitoring environments via natural language interfaces.

Exposes Zabbix monitoring capabilities as callable tools for AI agents and MCP-compatible clients.

🔌 Complete MCP server for Zabbix integration - Connect AI assistants to Zabbix monitoring with 40+ tools for hosts, items, triggers, templates, problems, and more. Features read-only mode and comprehensive API coverage.

Provides advanced, programmable access to Zabbix monitoring data and management features, enabling querying, automation, and integration of Zabbix resources.

Enables agent harnesses to triage problems, query metrics, manage maintenance, and build or edit dashboards in Zabbix 7.4 with safeguards against accidental changes.

Enables AI assistants to query Zabbix monitoring data through MCP, including host briefs and problem reports, with read-only access and whitelist controls.

Read-only MCP server that provides Zabbix monitoring data to AI agents, enabling investigation of hosts, metrics, incidents, and triggers with deterministic aggregation.

MCP server to access the Zabbix API, providing tools to list hosts, problems, triggers, items, history, and events.

Zabbix MCP server and CLI in one Go binary. 15 task-shaped tools: current problems, host investigation, why an alert did or did not arrive, metrics, maintenance. Zabbix 6.4+.

Governs and automates network monitoring across SolarWinds Orion and Paessler PRTG platforms with a unified MCP server, enabling querying, alert management, and governed writes with audit logging.

Official initMAX MCP server exposing the Zabbix API to AI assistants for monitoring and managing hosts, problems, templates, dashboards, and multiple Zabbix instances. Includes correlated monitoring views, graphs, anomaly detection, capacity forecasts, and PDF reports, with scoped tokens, read-only modes, OAuth 2.1, and an admin portal. Supports Streamable HTTP, SSE, and stdio.

Enables AI assistants to query and manage Zabbix monitoring data—hosts, items, triggers, problems, and health checks—and generate daily, weekly, and monthly operations reports.

Comprehensive MCP server for integrating with Zabbix monitoring systems, providing 90+ API tools across 19 categories for monitoring, alerting, and infrastructure management.

Enables AI assistants to manage Zabbix enterprise monitoring through 100 Portuguese-language tools covering controlled network discovery, staged device onboarding, PDF/XLSX/CSV/JSON/Markdown reporting, and governance with RBAC modes, two-step approval, secret redaction, and audit logging. Supports Zabbix 6.0 through 7.4 with stdio, SSE, and Docker deployment.

Enables SSH-based read-only monitoring of Linux vServers via Claude, allowing queries for system metrics, logs, network info, and health check reports.

Enables users to monitor and query Zabbix infrastructure through natural language by providing access to current problems, active triggers, and system health status via the Zabbix API.

Connects AI agents to live observability stacks including Sentry, GitHub, Vercel, Better Stack, and Cloudflare, enabling end-to-end incident investigation, deployment correlation, root cause analysis, and regression triage.

Provides Claude AI assistants with focused monitoring tools for n8n workflow execution analysis, including active workflow listing, execution history with KPIs, and detailed failure information.

Enables MCP clients to inspect Oracle Integration Cloud integrations, connections, runtime instances, errors, and flow logs through natural-language queries.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

An MCP server that provides access to Google Cloud Monitoring API, enabling interaction with cloud resources monitoring data through natural language commands.

Enables Managed Agent sessions to retrieve provider-specific alarms, metrics, and logs through MCP tools, supporting mock and AWS-backed monitoring data.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Exposes the entire Zabbix API as MCP tools so AI assistants and other MCP clients can query hosts, inspect problems, manage templates and dashboards, acknowledge events, and perform other Zabbix operations. It also adds pre-correlated summary views, graph rendering, anomaly detection and forecasting, PDF report generation, and a two-step write approval flow, with multi-server, token-scoped and read-only deployment options.

Provides telemetry tools for retrieving recent logs and system metrics to support root-cause analysis of infrastructure incidents. Enables autonomous incident triage with grounded verification and human-in-the-loop remediation.

Uptime monitoring your AI agent can set up: create HTTP, SSL, ping, TCP and DNS monitors checked from multiple regions, run checks on demand, read and acknowledge incidents, manage cron heartbeats, maintenance windows and status page updates.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.

Enables AI agents to query Oracle Integration Cloud read-only across multiple environments in plain language, covering integrations, runtime instances, errors, schedules, connections and flow design through 36 GET-based tools.