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,

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

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,

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.

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

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,

Expert DevOps troubleshooter specializing in rapid incident

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.

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

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, and ensure teams can quickly identify and resolve production issues.

Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface. Documentation  ·  Releases  ·  Contributing - 500+ curated news feeds across 15 categories, AI-synthesized into briefs - Dual map engine — 3D globe (globe.gl) and WebGL flat map (deck.gl) with 56 map layer type

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.

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

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

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

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

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 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

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