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"files and folders" matching MCP servers:

  • DingusMail

    Totally-Harmless
    A
    license
    A
    quality
    D
    maintenance
    MCP server for parsing .eml email files, extracting metadata, content, and attachments with smart organization into folders. Enables AI to read and handle email files offline without triggering trackers.
    2
    2
    AGPL 3.0

  • test-files-mcp

    Zulelee
    A
    license
    A
    quality
    C
    maintenance
    Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.
    10
    MIT

  • google-drive-mcp

    software-engineer-mj
    A
    license
    A
    quality
    D
    maintenance
    A Model Context Protocol server for Google Drive API v3, enabling AI agents like Claude to manage files, folders, and sharing.
    28
    MIT

  • gremlin-mcp

    jvcaesar
    F
    license
    A
    quality
    C
    maintenance
    An MCP server that gives an agent terminal and file-management capabilities, including running shell/Python commands, searching and reading files, and creating/editing/deleting files and folders.
    21

  • SharePoint MCP Server

    mdev26
    A
    license
    B
    quality
    D
    maintenance
    Enables AI assistants to manage Microsoft SharePoint documents and folders through natural language, supporting operations like listing, reading, uploading, updating, deleting, and creating Office files.
    13
    MIT

  • mcp-pypi

    UjjwalKo
    F
    license
    C
    quality
    C
    maintenance
    An MCP server built with FastMCP that provides basic terminal abilities like running commands, running Python, and working with files and folders.
    9

  • Shinkuro

    DiscreteTom
    A
    license
    Not graded
    quality
    F
    maintenance
    Enables loading and serving markdown files as prompts from local folders or GitHub repositories. Supports automatic repository synchronization and YAML frontmatter for prompt metadata.
    3
    MIT
  • synapse-mcp by Sage-Bionetworks

    synapse-mcpofficial

    Sage-Bionetworks
    A
    license
    Not graded
    quality
    A
    maintenance
    A Model Context Protocol (MCP) server that enables AI agent access to Synapse entities such as Datasets, Projects, Folders, Files, Tables, and more.
    3
    MIT

  • Databases MCP Server (Access

    Carltk
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.
    MIT

  • Access and SQLite MCP Server

    scanzy
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.
    7
    MIT

  • folder_stats

    dakshhgondaliyaa
    F
    license
    Not graded
    quality
    C
    maintenance
    Provides a tool to count files and folders in a directory, supporting both recursive and non-recursive counts.

  • Document MCP

    MENARHQ-cloud
    F
    license
    Not graded
    quality
    C
    maintenance
    Enables reading and searching documents in allowlisted folders via LiteLLM and MCP tools, using COM for Office files to support IRM-protected content.

  • desktop-organizer

    robwatsongtr
    F
    license
    Not graded
    quality
    D
    maintenance
    MCP server for organizing files on your Mac Desktop by automatically categorizing them into folders. Supports listing, previewing, and moving files into category folders (Images, Documents, Videos, etc.).

  • Docling MCP Server

    ALIAT93
    F
    license
    Not graded
    quality
    C
    maintenance
    Converts folders of financial and investment documents into structured markdown, JSON, and CSV files with a metadata index, enabling AI assistants to efficiently navigate and analyze large research libraries.