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maintenanceEnables AI assistants to monitor and analyze industrial process data from DCS/SCADA systems via MCP protocol, with domain expert knowledge for anomaly detection and recommendations.
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"AI coding assistant with visual UI interaction, GitHub integration, and adaptive agent system" matching MCP servers:
- AlicenseAqualityFmaintenanceProvides system hardware information (CPU, memory, storage, etc.) and system status (OS, network, resource usage) via MCP tools.216ISC
- Flicense-qualityDmaintenanceA Claude-powered MCP tool suite for interacting with a Wazuh SIEM manager, enabling triage, health monitoring, threat hunting, rule management, and active response execution.
- Flicense-qualityDmaintenanceEnables Claude to monitor CPU, memory, disk, processes, network connections, Docker containers, and system logs for system diagnostics and troubleshooting.
- FlicenseAqualityCmaintenanceProvides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.75
- FlicenseBqualityDmaintenanceA read-only Kubernetes MCP server that enables developers to inspect app status, view pod events, and fetch container logs from dev clusters without requiring full kubectl access.24
Log Analyzer with MCPofficial
Alicense-qualityDmaintenanceA Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.167Apache 2.0- Alicense-qualityAmaintenanceEnables troubleshooting of LDAP directory services through natural language queries, providing health diagnostics, replication status, performance metrics, log analysis, and configuration comparisons across multiple servers.1GPL 3.0
- Alicense-qualityCmaintenanceProvides a read-only summary of Ubuntu server status including system version, resource usage, apt updates, service health, security logs, and hardware information to AI clients via MCP tools.MIT
- Alicense-qualityCmaintenanceA Model Context Protocol (MCP) server for SQL Server / Azure SQL that enables querying, monitoring, and analyzing databases directly from Claude.15MIT
- Alicense-qualityDmaintenanceEnables real-time monitoring of system resources including CPU, GPU (NVIDIA, Apple Silicon, AMD/Intel), memory, disk, network, and processes across Windows, macOS, and Linux platforms through natural language queries.3MIT
- Alicense-qualityDmaintenanceProvides Claude with real-time system monitoring capabilities, including CPU, memory, disk, network, battery, and internet speed metrics.MIT
- Alicense-qualityDmaintenanceEnables comprehensive system monitoring and diagnostics through 18 tools that provide detailed information about CPU, memory, disk usage, network interfaces, running processes, battery status, hardware details, and temperature monitoring. Allows users to query system information and performance metrics through natural language interactions.16ISC
- Flicense-qualityCmaintenanceProvides real-time Linux system monitoring for CPU load, memory usage, disk space, and process activity. This server enables users to retrieve comprehensive performance metrics and resource utilization data through a standardized interface.
- -license-quality-maintenanceManages the lifecycle of MCP services with health monitoring, auto-restart capabilities, and process tracking. Enables users to start, stop, restart, and monitor MCP services through natural language commands.
- Flicense-qualityCmaintenanceGives AI agents real-time access to system metrics, process management, and container orchestration.
- -license-quality-maintenanceProvides comprehensive logging and monitoring capabilities for MCP services with real-time log tailing, advanced search, error analysis, and anomaly detection. Enables centralized log aggregation, correlation tracking, and health monitoring across all MCP ecosystem services.
- Flicense-qualityDmaintenanceProvides a Twitter-like timeline interface where AI agents can post thoughts and progress updates in real-time while working on tasks. It enables users to monitor agent activities through a web GUI and persistent database storage for debugging and session tracking.1
- AlicenseAqualityDmaintenanceTracks AI agent token usage and spending in real time, with budget alerts, per-task cost breakdown, and a visual dashboard.61MIT
- AlicenseAqualityAmaintenanceMCP server exposing AI agent observability tools: list, inspect, and deterministically replay recorded agent execution traces for debugging failures.1Apache 2.0