"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.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

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.

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

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

🔌 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.

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.

Enables MCP clients to search Subito.it listings, create and manage autonomous SQLite-backed watches, check monitoring status, and deliver Telegram notifications for new listings.

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 perform immediate Vinted searches and manage persistent, SQLite-backed watches with Telegram notifications through MCP tools.

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

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.

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

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

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.

Facilitates software development planning through interactive sessions that break down projects into manageable tasks with complexity scoring, code examples, and implementation plan management.

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

Enables converting software development requirements into traceable estimates, WBS breakdowns, PERT calculations, risk registers, roadmaps, quotations, and professional PDF proposals or action plans. It supports reviewing assumptions, exclusions, scope gaps, and commercial documentation before sending deliverables to clients.

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 Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.

Enables AI agents to inspect and manage Windows software, including listing installed and running apps, searching catalogs, installing, upgrading, uninstalling, managing startup apps, exporting backups, and checking exploited vulnerabilities. It also supports a read-only mode for safe discovery.

A Windows-local MCP server that connects natural-language engineering tasks to COMSOL, Autodesk Fusion, and LabVIEW through their official software interfaces. It lets users submit, track, and verify parametric simulation, CAD modeling, and measurement jobs as configurable tools.

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 LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.