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Integracin completa entre servidor MCP (Model Context Protocol) y Zabbix para monitoreo inteligente con IA

A Model Context Protocol (MCP) server for AppSignal monitoring API integration. This server allows AI assistants to directly query and fetch error and performance data from AppSignal through the MCP protocol.

This repository contains code to locally run an MCP server that can access Scout Monitoring data via Scout's API. We provide a Docker image that can be pulled and run by your AI Assistant to access Scout Monitoring data.

Never miss a failed deployment again! Sendra monitors your Appwrite deployments and sends instant email alerts when something goes wrong.

LibreNMS MCP Server is a Python-based Model Context Protocol (MCP) server designed to provide advanced, programmable access to LibreNMS network monitoring data and management features. It exposes a modern API for querying, automating, and integrating LibreNMS resources such as devices, ports, alerts, inventory, locations, logs, and more. The server supports both read and write operations, robust security features, and is suitable for integration with automation tools, dashboards, and custom network management workflows.

A Model Context Protocol (MCP) server for the Pingera monitoring service, providing seamless integration between AI models and monitoring data.

This MCP (Model Context Protocol) server provides comprehensive OpenShift cluster performance monitoring and benchmarking capabilities through integration with Prometheus metrics and OpenShift APIs.

A Model Context Protocol (MCP) server that uses eBPF to monitor network connections and provide real-time network analytics.

MCPSpy is a powerful command-line tool that leverages eBPF (Extended Berkeley Packet Filter) technology to monitor Model Context Protocol (MCP) communication at the kernel level. It provides real-time visibility into JSON-RPC 2.0 messages exchanged between MCP clients and servers by hooking into low-level system calls.

The following tools are available via the MCP server:

A comprehensive Model Context Protocol (MCP) server for Prometheus, written in Go.

Comprehensive dashboard tracking 27,899 MCP servers across 3 data sources, with focus on 966 finance-related servers. Analyzes AI tool proliferation and finance sector adoption using advanced ML techniques including semantic embeddings, topic modeling, and automated consequentiality scoring.

An MCP (Model Context Protocol) server that provides tools for querying observability data from various backends including OpenTelemetry Collector, Grafana, Elastic Cloud, and OpenSearch.

This project demonstrates how to connect code changes and observability using Grafana MCP, Prometheus, and a sample Node.js app. You can use coding agents (like Cursor or Claude Code) to interactively update your code and observability dashboards.

Monitor automtico AFIP con alertas proactivas y compliance checker desarrollado usando Model Context Protocol (MCP).

An MCP server for Prometheus

A lightweight Python-based monitoring system for SaaS spend management competitors. It tracks pricing changes, feature updates, and urgent market signals using asynchronous scraping and GPT-4 analysis.

MCP server for MBBank API helping monitoring and analytics transactions and balances.

Proof of Concept Splunk MCP server plus MCP file Server by Rod Soto

A MCP server for macOS that provides advanced system monitoring and file search capabilities.

A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP implementations.

This remote MCP server allows interaction with the Dynatrace observability platform. Bring real-time observability data directly into your development workflow.

This project provides a FastMCP (Message Control Protocol) server that acts as an intermediary to interact with an Uptime Kuma instance. It exposes a set of tools to manage monitors, tags, status pages, and retrieve heartbeat data from Uptime Kuma.

Simple CPU usage tracker through MCP

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.

A Model Context Protocol (MCP) tool for retrieving and analyzing Windows event logs (e.g. Application, System, Security). WinLog-mcp provides programmatic access to ingest and query Windows event logs, making it ideal for security monitoring, incident response, and log analysis automation.

A tool that automatically monitors GitHub repositories for new releases and sends email notifications when they're detected. Stay up-to-date with your favorite open source projects without constantly checking for updates.

OPS Agent will help you to analyze and debug ops (live operations) issues.

MCP Provenance Monitor Dashboard

Serial Sentinel is a Python-based GUI application for monitoring serial port data, featuring real-time text display and plotting capabilities.

A robust server monitoring system built on the Multi-Channel Protocol (MCP) framework, designed for seamless integration with Claude and other AI assistants.

MCP (Management Control Panel) is a comprehensive vulnerability management system that helps organizations track, manage, and respond to security vulnerabilities effectively.

An opinionated mcp server that exposes pod logs indexed in opensearch search over MCP. This relies on the assumption that logging is centralized using fluentbit's kubernetes filter and opensearch with logstash format and per namespace index.

This project provides MCP server for Grafana, including MCP tools to interact with Grafana dashboards, data sources, alerts, and more.

A Model Context Protocol (MCP) server that identifies resource-intensive processes on macOS across CPU, memory, and network usage.

MCP Server enables large models to integrate frontend monitoring data, performance metrics, and Vite project code, providing practical optimization suggestions and in-depth analysis.

The EPSS MCP Project is a powerful server designed to retrieve CVE details from the NVD API and fetch EPSS scores from the EPSS server. It provides users with comprehensive vulnerability information, including CVE descriptions, CWEs, CVSS scores, and EPSS percentiles, all in one place.

A Python-based tool to interact with Datadog API and fetch monitoring data from your infrastructure. This MCP provides easy access to monitor states and Kubernetes logs through a simple interface.

A meta-tool for monitoring, maintaining, and managing Claude Desktop MCP servers.

MCP server implementation for Mackerel monitoring service.

取得目前及過去 24 小時台灣各地空氣品質監測站資料。 Get current and past 24 hours air quality monitoring station data of Taiwan (R.O.C).

mcp-zabbix-server

这是一个基于 FastMCP 的服务器状态监控工具，可以获取本地或远程服务器的 CPU、内存和运行时间信息。

A Model Context Protocol (MCP) server implementation for monitoring website performance and environmental impact.

Demonstration of a Remote MCP server instrumented with OpenTelemetry tracing and sending traces to Datadog. This provides a single connected trace from MCP server through to any backend APIs or databases giving you a complete understanding of your MCP server availability.

MCP сервер для сбора логов и ошибок из Chrome. К mcp серверу можно подключаться любым MCP клиентом, поддерживающим SSE (однопоточные серверные стрим события)

An MCP (Message Control Protocol) server designed to handle interactive journaling sessions with support for emotional analysis and automatic conversation saving.

MCP server for interacting with Prometheus metrics and data.

ops-mcp-server: an AI-driven IT operations platform that fuses LLMs and MCP architecture to enable intelligent monitoring, anomaly detection, and natural human-infrastructure interaction with enterprise-grade security and scalability.

A Message Context Protocol (MCP) server that integrates with Apache Kafka to provide publish and consume functionalities for LLM and Agentic applications.

A Model Control Protocol (MCP) server that provides access to CISA's Known Exploited Vulnerabilities (KEV) catalog through Claude and Cursor integration.

Grafana k6 MCP Server for performance testing

Locust MCP Server for performance testing

An MCP server running inside a trusted execution environment (TEE) via Gramine, showcasing remote attestation using RA-TLS. This allows an MCP client to verify the server before conencting.