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LincolnBurrows2017

filesystem-mcp

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      Enables AI models to securely read, write, and query metadata of local files through a controlled file system interface, with support for local and Azure deployment.
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    • F
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      Provides secure filesystem access for AI assistants with optimizations like file reading limits and depth-limited traversal to improve token efficiency. It enables AI models to read, write, and search files within explicitly allowed directories while automatically skipping large system folders.
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    • A
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      Provides file system access and operations, enabling AI assistants to read, write, list, search, and manage files and directories through a standardized interface.
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    • A
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      Enables AI assistants to perform file system operations within a specified project directory, including reading, writing, editing, and managing files, with optional read-only access to reference projects.
      27 PyPI
      49
      MIT

    TDQS

    A3.5/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct filesystem operation with no overlap, making selection unambiguous.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case, e.g., copy_file, create_directory.

    Tool Count5/5

    9 tools cover essential filesystem operations without being excessive or insufficient.

    Completeness5/5

    The set covers CRUD for files and directories, listing, searching, metadata, and move/rename with no obvious gaps.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive