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    ac-infinity-mcp is an MCP server that connects Claude (and other AI assistants) directly to your AC Infinity controllers — so you can read live sensor data, run analytics, and adjust fan speeds or port states using natural language, without opening the AC Infinity app.
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    MIT
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    Enables an MCP client such as Claude to inspect a Mac's battery, memory, CPU, GPU, disk, and most energy-hungry apps, and to shut down, restart, sleep, or lock the screen now or on a schedule with a cancellable 60-second grace period.
    14
    1 npm
    MIT
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    Enables operating a FiveM server by sending commands to the FXServer console through txAdmin and returning the console output, with tools for status, players, and server control.
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    MIT
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    Local MCP server for observing and controlling an authorized Android device over USB using ADB and scrcpy, providing screen capture, UI automation, app inspection, logcat, and evidence recording.
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    MIT
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    Connects AI assistants to the Vectra AI security platform to enable intelligent analysis of threat detection data and automated incident response workflows. It allows users to investigate threats, take response actions, and generate security reports using natural language.
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    MIT
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    Enables language models to query Goatcounter web analytics data, including pageviews, visitor statistics, referrers, browsers, and operating systems through a standardized tool interface with automatic rate limit handling.
    MIT
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    Enables AI agents to interface with Velociraptor for digital forensics and incident response tasks, including file/memory scans, remediation actions, and artifact collection across multiple operating systems.
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    MIT
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    A powerful, lightweight Model Context Protocol (MCP) server built in Python that enables Artificial Intelligence assistants (Claude Desktop, Cursor, Antigravity, Claude Code, etc.) to manage and monitor your Proxmox VE cluster using natural language.
    MIT
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    Control and monitor your AC Infinity grow environment through Claude and any MCP-compatible AI assistant. It provides live sensor data, analytics, and the ability to adjust fan speeds or port states using natural language.
    MIT
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    Enables read-only querying and analysis of Kibana logs through a logged-in sid Cookie, including keyword/time/index searches, traceId lookups, surrounding log context, and aggregations by service, level, or host. It also validates Kibana connection status and redacts sensitive fields such as cookies, tokens, and passwords.
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    Enables AI agents to query and analyze Graylog logs through MCP tools for search, aggregation, stream listing, and saved queries, with optional OpenAI-powered natural language orchestration and audit logging.
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    Compresses log files into templates and statistics using Drain3, and exposes them to AI assistants via an MCP server for efficient log monitoring and anomaly detection.
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