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    Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.
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    MIT
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    A 100% local development monitoring tool that captures browser console logs, network requests, and backend server output for analysis by AI assistants via MCP. It enables LLMs to debug applications by providing structured, real-time access to full-stack log data and persistent local storage.
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    MIT
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    A fail-closed MCP server for Msty Studio on macOS that provides read-only diagnostics and an optional bounded local-generation tool, without accessing chats, keys, or configuration.
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    MIT
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    MCP server that stream-parses NDJSON log files without loading them into memory — filter by pattern, detect error spikes via Z-score analysis, summarize severity timelines by time window.
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    MIT
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    Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.
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    MIT
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    A log analysis MCP server that enables tailing, searching, filtering, and summarizing logs from local files and Docker containers.
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    Enables AI models to securely query and manage virtual machines and virtualized resources via the libvirt API through the Model Context Protocol.
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    MIT
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    Enables integration between Claude AI and Nasuni environments to monitor appliance health, manage volumes and shares, and generate comprehensive infrastructure reports. Users can interact with the Nasuni Management Center through natural language to track performance metrics and summarize system notifications.
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    Enables AI agents to securely access and manage Commvault environments, including job control, backup schedules, client/storage management, SLA monitoring, and optional DocuSign envelope backup integration.
    17
    Apache 2.0
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    An MCP server for Metrx — provides tools for construction, healthcare, logistics, manufacturing, and legal mid-market businesses to query and analyze their operational data via AI.
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    MIT
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    MCP server for inspecting IBM Liberty/WebSphere application servers over SSH, enabling reading sanitized configs, performing health checks, and searching logs remotely.
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    Enables diagnostics and troubleshooting of OpenShift clusters through storage analysis, resource monitoring, GPU utilization tracking, and pod health checks using Prometheus metrics and the oc CLI.
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    Enables AI assistants to query privacy-first web analytics from Measure.events, including pageviews, top pages, referrers, and custom event tracking, all via natural language.
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    MIT
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    Enables AI assistants to query, analyze, and resolve errors within the GlitchTip error tracking platform by providing access to issue details and stacktraces. It allows users to list unresolved issues and mark them as fixed using natural language commands.
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    MIT
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    Provides read-only access to TacticalRMM remote monitoring and management instances via the MCP protocol. It enables querying agents, clients, alerts, checks, and other RMM data through natural language.
    22
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    AGPL 3.0
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    Enables read-only Linux system diagnostics and troubleshooting on local and remote RHEL-based systems via SSH, including services, processes, logs, network, and storage analysis.
    20
    MIT