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    Provides tools for AI assistants to manage and diagnose MWAA Airflow environments, EMR Serverless jobs, S3 files, and Confluence documentation. It features automated pipeline failure diagnosis and comprehensive log retrieval across these integrated platforms.
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    A JVM monitoring and control platform server based on Arthas that provides a Python interface for monitoring and analyzing Java processes with capabilities for thread analysis, memory monitoring, and performance diagnostics.
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    MIT
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    Official Hyperping MCP server for uptime, API, cron and server monitoring. 26 tools covering monitors, outages and timelines, uptime, response time, MTTR and MTTA, on-call schedules and escalation policies, over a remote Streamable HTTP endpoint with Bearer token auth and no install.
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    A Python utility for adding usage tracking, analytics, and audit trails to MCP servers using SQLite-backed persistence. It enables developers to monitor tool, prompt, and resource activity and expose these statistics directly to LLM clients.
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    MIT
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    MCPWatch: observability for MCP servers. One line instruments any Python MCP server (FastMCP and the low-level Server) and tracks per-tool latency (p50/p95/p99), error rates, silent failures (empty/null returns and isError), and call volume. REST API, CLI, and alert hooks. MIT, no config required.
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    MIT
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    Detrix is an agentic debugger. Watch any variable at any line, zero code changes during debugging Local or cloud - same workflow for Docker containers and remote hosts Python, Go, Rust - observation points capture values without pausing, without restarting
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    MIT
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    A Model Context Protocol server that provides access to Observe API functionality, enabling LLMs to execute OPAL queries, manage datasets/monitors, and leverage vector search for documentation and troubleshooting runbooks.
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    Bridges AI assistants with Wazuh SIEM infrastructure, providing natural language access to security alerts, vulnerability analysis, CVE databases, and network documentation for security operations.
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    MIT
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    Enables interaction with the Observe platform through OPAL query execution, worksheet data export, dataset management, and monitor operations. Provides AI-powered troubleshooting assistance through vector search across documentation and specialized runbooks.
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    MCP server for the FortiMonitor v2 monitoring API. 241 tools across 33 modules covering server management, outage monitoring, maintenance windows, metrics, notifications, cloud monitoring, SNMP, dashboards, reporting, and more. Unofficial community project, not affiliated with Fortinet. Python, MIT license, Docker and local deployment supported.
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    MIT