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⇱ MCP tools for monitoring application memory and CPU usage | Glama

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MCP tools for monitoring application memory and CPU usage

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  • Why this server?

    This server enables monitoring and analyzing local system processes, providing real-time access to process information including CPU usage and memory consumption, which directly addresses the user's need to monitor app memory and CPU usage.

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    Enables AI to monitor and analyze local system processes through custom tools. Provides real-time access to process information including CPU usage, memory consumption, process counts, and process searching capabilities.
    Last updated

  • Why this server?

    This server offers real-time system monitoring capabilities, specifically mentioning CPU and memory metrics, which is a direct match for monitoring app memory and CPU usage.

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    Provides Claude with real-time system monitoring capabilities, including CPU, memory, disk, network, battery, and internet speed metrics.
    Last updated
    MIT

  • Why this server?

    This server provides real-time system metrics, including CPU usage and memory statistics, which is ideal for monitoring the resource consumption of applications.

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    Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.
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  • Why this server?

    This server provides comprehensive system diagnostics and information gathering for CPU, memory, and processes, aligning perfectly with the request for monitoring app resource usage.

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    Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
    Last updated
    10

  • Why this server?

    Described as a 'powerful browser monitoring and interaction tool,' this server directly addresses the 'like for a browser' aspect of the user's query, implying capabilities relevant to browser app performance.

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    This application is a powerful browser monitoring and interaction tool that enables AI-powered applications via Anthropic's Model Context Protocol (MCP) to capture and analyze browser data through a Chrome extension.
    Last updated
    7,246
    MIT

  • Why this server?

    This server integrates with Chrome DevTools, which is a standard tool for monitoring web application performance, including memory and CPU usage within a browser context.

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    An MCP Server for Chrome DevTools, following the Chrome DevTools Protocol. Integrates with Claude Desktop and Claude Code.
    Last updated
    300
    MIT

  • Why this server?

    This server provides Safari browser automation and developer tools access, enabling monitoring of browser-related activity which can include performance metrics like CPU and memory for web applications.

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    Provides AI assistants with Safari browser automation and developer tools access, enabling LLMs to control Safari, access console logs, monitor network activity, and perform browser automation tasks.
    Last updated
    13
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    MIT

  • Why this server?

    Electron applications are essentially browser-based, and this server offers 'observability capabilities through Chrome DevTools Protocol integration,' making it relevant for monitoring browser-like app performance.

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    A Model Context Protocol server that provides comprehensive Electron application automation, debugging, and observability capabilities through Chrome DevTools Protocol integration.
    Last updated
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    MIT

  • Why this server?

    This server 'analyzes website performance using Playwright and Lighthouse,' which are tools specifically designed to audit web page performance metrics, implicitly including resource utilization related to loading and interactivity.

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    A server that analyzes website performance using Playwright and Lighthouse, allowing LLMs to perform web performance analysis through the Model Context Protocol.
    Last updated
    2
    5
    MIT