Monitoring AI Agent Skills

A native macOS menu bar application for real-time monitoring of Claude AI usage limits English • Español • Français • Deutsch • Italiano • Português • 日本語 • 한국어 Download Latest Release (v2.3.0) macOS 14.0+ (Sonoma) | ~4 MB | Native Swift/SwiftUI | Officially Signed Claude Usage Tracker is a lightweight, native macOS menu bar application that provides real-ti

Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.

Build comprehensive ML pipelines, experiment tracking, and model

Build production ML systems with PyTorch 2.x, TensorFlow, and

Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

Expert performance engineer specializing in modern observability,

You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging,

Build production-ready monitoring, logging, and tracing systems.

Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

Expert DevOps troubleshooter specializing in rapid incident

A powerful Model Context Protocol (MCP) server for Docker operations, enabling seamless container and compose stack management through Claude AI. - 🚀 Container creation and instantiation - 📦 Docker Compose stack deployment - 🔍 Container logs retrieval - 📊 Container listing and status monitoring To try this in Claude Desktop app, add this to your claude config files: To install Docker MCP for C

An MCP server for tracking Binance Alpha trades, helping AI agents optimize alpha point accumulation. - Real-time Trade Monitoring: Track buy-side activity for Binance Alpha tokens by Subscribing to on-chain events. - USD-based Metrics: Calculates trade values in USD using real-time prices from the CryptoCompare. - Data Persistence: Maintains trade data in memory, with automatic cleanup of records

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow. If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help. You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT,

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

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

A Model Context Protocol (MCP) server for shipment tracking api, package monitoring, and logistics management using the TrackMage API. Supports tracking across 1600+ carriers worldwide. - Carrier Support: Track packages across 1600+ carriers worldwide (full list) - Resources: Workspaces, shipments, orders, carriers, tracking statuses - Tools: Create shipments/orders, get shipment checkpoints, carr

NOTE: This is an unofficial implementation of MCP Server for ZapCap. An MCP (Model Context Protocol) server that provides tools for uploading videos, creating processing tasks, and monitoring their progress through the ZapCap API. - ZapCap API key You can install uv from here: https://docs.astral.sh/uv/ You can get api key from ZapCap API after registation at https://zapcap.ai/ in their platform h

Enable AI models to interact with a global network measurement platform through natural language. Give network access to any LLM. Globalping is a free, public API that provides access to a globally distributed network of probes for monitoring, debugging, and benchmarking internet infrastructure. With Globalping, you can run network tests (ping, traceroute, DNS, MTR, HTTP) from thousands of locatio

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

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

A VMware ESXi/vCenter management server based on MCP (Model Control Protocol), providing simple REST API interfaces for virtual machine management. - Support for ESXi and vCenter Server connections - Real-time communication based on SSE (Server-Sent Events) - RESTful API interface with JSON-RPC support - API key authentication - Complete virtual machine lifecycle management - Real-time performance

A Model Context Protocol (MCP) server that identifies resource-intensive processes on macOS across CPU, memory, and network usage. MacOS Resource Monitor is a lightweight MCP server that exposes an MCP endpoint for monitoring system resources. It analyzes CPU, memory, and network usage, and identifies the most resource-intensive processes on your Mac, returning data in a structured JSON format. -