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    Enables intelligent monitoring and management of Zoom rooms across multiple sites using smart location resolution and hierarchical discovery. It provides tools for checking room status, retrieving location hierarchies, and accessing detailed room configurations through the Zoom API.
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    DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for
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    Hardware probe MCP server that provides deep hardware inventory and live sensor telemetry for AI agents, including CPU, memory, disk, GPU, and sensor data across platforms.
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    MCP server for Drumbeats monitoring. Enables creating monitors, triaging incidents, and running HTTP/SSL/DNS checks using natural language from any AI client.
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    Enables searching Sumo Logic logs using the search_logs tool, with support for query parameters such as time range and maximum results.
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    An MCP server that exposes a legacy vulnerability database as tools for LLM clients, enabling security analysts to query vulnerabilities using natural language through six specialized tools for vendor lookup, vulnerability search, and risk analysis.
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    Enables AI agents to profile iOS/macOS apps using Xcode Instruments, automate simulator interactions, and get structured performance data for optimization.
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    MCP server that gives AI assistants live access to Google Search Console and Bing Webmaster Tools for search performance, indexing, keyword research, and crawl health analysis directly in the chat.
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    Enables AI assistants to securely query and analyze KARTE event data via BigQuery. It provides tools for fetching event logs, aggregating data, and exploring schemas using natural language.
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    An MCP server for tracking and managing AI command usage history using a PostgreSQL database. It enables users to log, search, and view statistics for various AI-related commands and their execution contexts.
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    Enables querying Graylog log management system for messages using natural language, supporting multiple instances and flexible search parameters.
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    An MCP server for querying Observe.com logs using OPAL, with tools for dataset discovery, schema inspection, and log searching.
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
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    BetterDB gives Claude Code, Cursor, Windsurf, and other MCP clients deep observability into Valkey and Redis instances. It implements 22 MCP tools including get_health, get_slowlog, get_commandlog, get_hot_keys, get_anomalies, get_cluster_nodes, get_cluster_slowlog, and get_slot_stats.
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