Monitoring AI Agent Skills

The server uses the MCP protocol to share access to a local Home Assistant instance with an LLM application. A powerful bridge between your Home Assistant instance and Language Learning Models (LLMs), enabling natural language control and monitoring of your smart home devices through the Model Context Protocol (MCP). This server provides a comprehensive API for managing your entire Home Assistant

Give Claude Code a browser that thinks. An MCP server that connects Claude Code to Perplexity Comet - enabling agentic web browsing, deep research, and real-time task monitoring. Existing web tools for Claude Code fall into two categories, both with limitations: Return static text. No interaction, no login, no dynamic content. Great for quick lookups, but can't navigate complex sites or fill forms

Purpose: System configuration and health monitoring Category: System Version: 1.0.0 The System plugin provides essential commands for configuring, monitoring, and maintaining Claude Code installations. These are system-level operations that configure or monitor Claude Code itself. Purpose: Unified view of work, system, and memory state Provides comprehensive status overview including: - Active wor

11 skills · 31 commands · 1 hook

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics. This provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. It can give you a comprehensive interface for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances, enable advanced automation and interaction capabilities for e

Plugins for Claude Code. Your world at a glance, without leaving the terminal. Track PRs, calendar, Slack, stocks, music—all in your statusline. The flow: /hub-setup → add monitors → alerts appear → /hub-ack for smart actions (merge PR, join meeting, reply to Slack). → Full documentation — workflow examples, all services, commands AI-powered market screening, without leaving the terminal. Screen s

Migration monitoring, CDC, and observability infrastructure

A Model Context Protocol (MCP) server for detecting, monitoring, and analyzing potential wildfires globally using multiple data sources including NASA FIRMS, OpenWeatherMap, and Google Earth Engine. This MCP server provides AI assistants with tools to detect and analyze wildfire activity anywhere in the world by integrating real-time satellite data, weather forecasts, air pollution metrics, and ge

English | 中文 A lightweight JVM monitoring and diagnostic MCP (Multi-Agent Communication Protocol) server implementation based on native JDK tools. Provides AI agents with powerful capabilities to monitor and analyze Java applications without requiring third-party tools like Arthas. - Zero Dependencies: Uses only native JDK tools (jps, jstack, jmap, etc.) - Lightweight: Minimal resource consumption

Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.

A powerful AI-driven Security Operations Center (SOC) Text2SQL framework based MCP Server (Local and Remote) for converting natural language Prompts to SQL queries dynamically, with integrated security threat analysis and monitoring. - Text2SQL Conversion: Convert natural language queries to optimized SQL - Multiple Interfaces: Support for STDIO, SSE, and REST API - Security Threat Analysis: Built

An MCP server that tracks stablecoin peg integrity across multiple blockchains, helping AI agents detect depegging risks before they escalate. - Stability Reports: Generate detailed reports assessing stablecoin peg stability, including maximum deviation and status (Stable, Moderately Stable, Unstable). - Real-Time Price Monitoring: Fetch current prices and calculate peg deviation from $1 for USD-p

SmartBear MCP server A Model Context Protocol (MCP) server which provides AI assistants with seamless access to SmartBear's suite of testing and monitoring tools, including BearQ, BugSnag, Reflect, Swagger, PactFlow, Pact Broker, QMetry, QTM4J, Zephyr and Collaborator. The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and t

Automate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.

Automate Sentry tasks via Rube MCP (Composio): manage issues/events, configure alerts, track releases, monitor projects and teams. Always search tools first for current schemas.

A portable, single-binary system auditing tool for Linux. Like Lynis but faster and smarter. No configuration needed. No dependencies. Just run. - 🔒 Security: Firewall, SSH hardening, SSL/TLS, fail2ban, SUID binaries, open ports - 🚀 Services: Systemd services, web servers, databases, Docker - 💻 Resources: CPU, RAM, disk usage, top processes - 💾 Storage: SMART health, inode usage, filesystem er

Automate GitLab project management, issues, merge requests, pipelines, branches, and user operations via Rube MCP (Composio). Always search tools first for current schemas.

A Model Context Protocol server implementation for Last9 that enables AI agents to seamlessly bring real-time production context — logs, metrics, and traces — into your local environment to auto-fix code faster. - View demo announcement blog post - Installation - Configuration - Tools Documentation - Development You can connect to Last9 MCP in two ways: This is the easiest and cleanest setup. You

ntfy-me-mcp provides AI assistants with the ability to send real-time notifications to your devices through the ntfy service (either public or selfhosted with token support). Get notified when your AI completes tasks, encounters errors, or reaches important milestones - all without constant monitoring. The server includes intelligent features like automatic URL detection for creating view actions

You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based practices. Design SLO frameworks, define SLIs, and build monitoring that balances reliability with delivery velocity.

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.

AI-powered debugging and inspection for Kubernetes clusters using Inspektor Gadget. - AI-powered interface for Kubernetes troubleshooting and monitoring - One-click Inspektor Gadget deployment and removal - Intelligent output summarization and analysis - Automatic gadget discovery from Artifact Hub 1. Ensure you have Docker and a valid kubeconfig file 2. Configure the MCP server in VS Code (see IN

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence.

This is the official MCP (Model Context Protocol) server for LG ThinQ devices. This server provides integrated control capabilities including status monitoring, device control, and profile information for various LG ThinQ devices, built on the LG ThinQ API and Python Open SDK. MCP connection method is stdio. - Prerequisites - Quick Start - Detailed Usage - Tool Reference - Device List Query Retrie

MCP-Dandan is an integrated monitoring service that observes MCP (Model Context Protocol) communications and detects security threats in real time. It features a modern desktop UI built with Electron for easy monitoring and management. Currently, MCP-Dandan is listed in well-known MCP-related open-source collections and can be found in the following repositories: - Awesome MCP Servers – Security -