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"MCP servers for monitoring power and memory usage of applications on Windows and macOS" matching MCP servers:

  • Windows-MCP

    CursorTouch
    A
    license
    -
    quality
    A
    maintenance
    A lightweight server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing through various tools.
    6,747
    MIT

  • MCP of MCPs

    eliavamar
    A
    license
    -
    quality
    D
    maintenance
    A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.
    16
    10
    Apache 2.0

  • Claude Agents Power

    hongsw
    A
    license
    B
    quality
    D
    maintenance
    An intelligent MCP server that analyzes projects and recommends professional role assignments, enabling users to download specialized agent templates for 100+ roles across various company departments.
    8
    218
    9
    MIT

  • Symphony of One MCP

    ai-wes
    A
    license
    A
    quality
    F
    maintenance
    A multi-agent orchestration system that enables multiple Claude instances to collaborate through a centralized hub with a shared workspace and real-time communication. It features integrated task management, role assignment, and persistent memory to facilitate complex, synchronized agent workflows.
    12
    14
    4
    MIT

  • mcp-memory-server

    ResakaGit
    A
    license
    -
    quality
    D
    maintenance
    An advanced contextual memory server for agent orchestration providing chronological history, semantic vector search via Redis Stack, and temporary scratchpad storage. It also enables context compression through history rollups and facilitates inter-agent communication using a Redis-based Pub/Sub system.
    23
    MIT

  • Central-Memory-MCP

    MWG-Logan
    A
    license
    -
    quality
    C
    maintenance
    Model Context Protocol (MCP) memory server built with Azure Functions and TypeScript, providing persistent knowledge graph storage for your preferred MCP client. Inspired by and forked from @modelcontextprotocol/server-memory
    3
    MIT

  • dark-memory-mcp

    Opita-Code
    A
    license
    -
    quality
    A
    maintenance
    An MCP server that provides persistent memory for AI agents, enabling context retention across sessions and supporting vibe-loop workflows where agent promises and deliverables are tracked and validated.
    MIT

  • InfiniteMCP

    day50-dev
    F
    license
    -
    quality
    C
    maintenance
    A meta-MCP server that acts as a universal gateway, allowing users to discover and execute tools from thousands of other MCP servers through semantic search. It dynamically loads servers on demand and provides standardized functions for searching, discovering, and running tools across the entire MCP ecosystem.
    6

  • Sentinel-Memory MCP

    Vince-Yi
    F
    license
    A
    quality
    D
    maintenance
    A lightweight MCP server that records and reuses prompt gaps — essential context missing from initial instructions — so your AI assistant learns from every session using a plain JSONL file tracked by Git.
    4
    14

  • Shared Memory MCP Server

    evalops
    A
    license
    B
    quality
    C
    maintenance
    Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.
    15
    0
    7
    MIT

  • Claw Memory Bridge

    ncepuee
    A
    license
    -
    quality
    C
    maintenance
    Provides a shared memory bridge for AI agents (QClaw, Claude Code, Codex) allowing them to store, search, and retrieve notes, decisions, and conclusions via MCP tools, using local SQLite with optional TencentDB integration.
    MIT