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"Guide to Executing and Reading Terminal Commands" matching MCP servers:

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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.
    5
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    license
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    quality
    C
    maintenance
    A mobile-first AI co-reading MCP server that lets users import novels or comics, sync reading progress with AI, and interact through comments, bookmarks, and notes.
    25
    MIT
  • F
    license
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    quality
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    maintenance
    An AI reading companion that curates next books based on the Chicago Plan curriculum and tracks user reading progress with personal tokens. It offers book recommendations, logging, coaching questions, and reading reports.
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    A
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    maintenance
    A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.
    12
  • A
    license
    B
    quality
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    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
    37
    MIT
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    quality
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    maintenance
    A secure server for executing terminal commands within predefined paths, allowing safe interaction by Large Language Models with operating system environments.
    1
    33
    16
    MIT
  • A
    license
    C
    quality
    C
    maintenance
    A server that enables AI assistants to execute terminal commands and retrieve outputs via the Model Context Protocol (MCP).
    3
    27
    MIT
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    quality
    F
    maintenance
    Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.
    1
    MIT
  • A
    license
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    quality
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    maintenance
    An MCP server that allows AI models to execute system commands on local machines or remote hosts via SSH, supporting persistent sessions and environment variables.
    1
    32
    28
    MIT
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    quality
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    Enables an agent to run shell commands through a JupyterLab/JupyterHub-hosted terminal, using REST API and WebSocket via Selenium for session handling, when SSH is not available.
    GPL 3.0
  • A
    license
    A
    quality
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    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    27
    Apache 2.0