"Understanding File Systems" matching MCP servers:

Enables merging multiple files into a single file through a simple MCP interface. Provides a secure way to combine files while restricting access to only allowed directories.

Enables comprehensive file operations including reading, writing, searching, and editing files with advanced features like regex-based replacements, line-specific modifications, and directory-wide search capabilities. Provides 8 robust tools for safe file manipulation with content verification and detailed error handling.

Enables CRUD operations on WebDAV file systems with authentication support, allowing users to manage files and directories through natural language commands. Includes advanced features like file search, range requests, smart editing with diff preview, and directory tree visualization.

Enables file management operations on the desktop including creating, reading, editing, moving, renaming, deleting, and listing files through the Model Context Protocol.

A powerful, security-hardened MCP server for intelligent file organization. Provides high-level atomic tools for organizing files into categories, detecting duplicates, extracting EXIF/ID3 metadata, scheduling automatic organization, and more — for use with Claude, Cursor, and Gemini CLI.

Enables users to create UI flowcharts by generating visualizations of user interfaces and interactions through an easy-to-use API within MCP-compatible systems.

An MCP server that parses files for Claude Desktop, requiring a 302AI API key for operation.

Enables AI models to perform file operations, user management, automations, and more within Files.com's secure file transfer platform via the Model Context Protocol.

Model Context Protocol (MCP) server for simple and instant file sharing. Input: file name → Output: download link in Seconds even for large file

A Model Context Protocol (MCP) server for converting files between different formats

Enables comprehensive file and document operations including image compression, archive creation/extraction, file copying/moving, PDF merging/splitting/conversion, SQLite database queries, and advanced text processing.

An MCP server that provides HTTP client capabilities with browser impersonation for Chrome, Firefox, Safari, and Edge across multiple operating systems. It enables tools for making authenticated web requests, handling multipart file uploads, and retrieving responses in various formats.

Enables AI agents to interact with Windows operating systems by providing tools for UI automation, file navigation, application control, and system operations. Works with any LLM to perform tasks like clicking, typing, launching applications, and executing PowerShell commands through native Windows integration.

Provides comprehensive color conversion, manipulation, analysis, and WCAG accessibility tools supporting multiple formats (hex, rgb, hsl, oklch, oklab) for design systems and web development.

Enables interaction with 3D printer management systems through an MCP server, supporting STL file manipulation, slicing, and control of printers like OctoPrint, Klipper, Duet, and more.

Enables AI to upload local files to RustFS storage service and download files from HTTP/HTTPS URLs to local paths. Built with FastMCP and RustFS SDK for seamless file operations through natural language.

A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.

A corporate file management system that enables users to upload and activate files through an approval workflow for use within ChatGPT Apps. It utilizes the Model Context Protocol to provide secure access to file metadata and listings via OAuth 2.1 authentication.

Enables secure file transfer operations with remote Linux and Windows systems via SCP/SFTP protocols. Supports uploading, downloading, listing, and managing files on remote servers through SSH authentication.

Enables AI-driven file organization by listing and moving files into structured folders by extension and modification date, based on natural language requests, without reading file contents.