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    Enables AI agents to query Windows process, window, and console information via structured JSON instead of screenshots, reducing token usage by 94-98%.
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    MIT
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
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    Apache 2.0
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    Enables Claude to monitor and inspect running processes through a lightweight wrapper that captures stdout/stderr logs and stores process metadata in SQLite. Users can track any command execution and query process status, logs, and history through natural language.
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    MIT
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    An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.
    6
    MIT
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    A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.
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    Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.
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    An MCP server that wraps the taegis-magic CLI to allow AI assistants to query Secureworks Taegis XDR for alerts, events, investigations, threat intelligence, and tenants via natural language.
    6
    MIT
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    A comprehensive Linux system performance profiler with MCP remote invocation support, featuring advanced process profiling and flame graph generation.
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    Apache 2.0
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    Exposes system telemetry tools to retrieve CPU, memory, disk, battery, network, process, and GPU metrics from a local machine.
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    Enables AI-powered analytics for OpenReplay user sessions through natural language queries. Supports session search, user journey analysis, error tracking, performance metrics, and funnel analysis to understand user behavior patterns.
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    Enables 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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    Enables AI assistants to query and manage Pi-hole v6 DNS ad-blocker instances, including logs, allow/deny lists, groups, and stats. Supports multiple Pi-hole instances from a single endpoint.
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    MIT
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    Enables AI models to analyze log files from the Chuangyu Shield cloud defense platform, including retrieving file info, reading log lines, searching logs, and analyzing attack types and IP statistics.
    8
    MIT