File Management MCP Repositories

The File Parser MCP Server helps you read, modify, and manage files easily. It simplifies the process of file handling, allowing developers to focus on building their applications without getting bogged down in the complexities of dealing with different file types.

School MCP is a server designed to help students manage their academic tasks more efficiently. It connects to platforms like Canvas and Gradescope to fetch assignment deadlines, download course materials, and integrate with your calendar for reminders.

The ZIP Compression Server allows users to easily compress and decompress files, manage multiple files at once, and query information about ZIP files, making file management more efficient and secure.

Integrates Dropbox with applications to manage files, folders, and account information through MCP-compatible clients, utilizing Dropbox's public API for seamless interaction.

Automatically organizes files in the Downloads folder by type, enhancing productivity through configured organization rules and real-time file system monitoring. Supports multiple file categories, including images, documents, archives, code files, media files, design files, databases, and fonts.

Facilitates the creation and management of multiple customized MCP servers by automating file management and integrating various MCP tools. Provides robust error handling and debugging support for development environments.

Enables integration with Eyevinn Open Source Cloud API for tasks like file uploads to a MinIO storage bucket. Supports architecting and building solutions with the remote MCP endpoint.

Converts PDF files to structured Markdown format while preserving the original layout. Supports batch processing of local files and URLs for efficient handling of multiple documents.

Scrapes data and downloads images from Vinted and Depop, storing the information in a SQLite database. Provides a command-line interface for easy data collection from user accounts on these platforms.

Connects AI models to external data sources and APIs via a standardized interface, providing a unified protocol for function calls and tool management to enhance AI application capabilities.

A collection of tools for development and maintenance tasks, including file operations, task management, and code editing functionalities. Supports basic calculations and npm commands for project building and dependency management.

Execute terminal commands securely, manage file systems, and navigate directories through a standardized interface with built-in safeguards and command history tracking.

Provides controlled access to the file system for AI tools, enabling secure interaction with files while ensuring strict access controls. Facilitates simplified file operations within applications integrated with MCP.

Fetch and process images from URLs and local file paths, handling automatic compression and MIME type retrieval. Images are returned as base64-encoded strings to facilitate integration and support parallel processing with robust error handling.

Optimizes images by compressing various formats for faster loading and improved user experience, while offering features like offline usage and batch processing. Supports smart compression to balance file size and visual quality based on image content.

MCP server for launching and managing applications on macOS, capable of listing applications installed in the `/Applications` folder and launching them by name or opening specific files with designated applications.

Leverage FFmpeg for video editing through natural language commands, enabling operations like trimming, merging, format conversion, and applying filters. The server provides real-time progress tracking and error handling for various video editing tasks.

Enable natural language interaction with WebDAV file systems to perform CRUD operations on files and directories through a secure and configurable MCP server. Supports connections with optional authentication and efficient management of file operations via multiple transport methods.

Manage files and directories, enabling operations such as reading, writing, and editing files, as well as creating, listing, and deleting directories. Perform searches for files and retrieve file metadata within specified directories.

Execute JavaScript and Python code securely in cloud environments with integrated file management, session reuse for performance optimization, and automatic handling of timeouts and errors. Seamlessly compatible with Claude AI Desktop for enhanced functionality.

Access project files and their contents from a specified directory, retrieving the latest data for projects stored in that location.

A privacy-preserving server that simplifies AI model interactions with filesystems through an intuitive API, ensuring sensitive paths remain concealed while providing efficient file operations. Supports streamlined directory listings and complex file searches with minimized functions.

Compress images without dependencies, automatically skip already compressed images, and replace source files, while maintaining quality. The server utilizes multiple API keys for compression and generates compression reports while ensuring no redundant files are created during the process.

Execute terminal commands and manage processes while offering file editing capabilities with real-time command output streaming.

Access and manage S3 buckets securely using pre-signed URLs for listing, uploading, downloading, and deleting objects. Simplifies interactions with AWS S3 services for efficient cloud storage management.

Provides secure access to local system operations through a standardized API interface, enabling command execution, file management, and directory visualization.

Search and analyze photos in a library using various intuitive tools, including location-based searches to easily find images taken in specific places.

Facilitates communication between AI models and Ableton Live through OSC messages, enabling music production automation and workflow enhancement. Maps OSC addresses to available tools for MCP clients.

Search for files in the filesystem based on a specified path fragment. Retrieve file metadata such as name, full path, size, and creation date for the located files.

Integrate large language models with Tencent Cloud Object Storage (COS) and Data Insight (CI), enabling file management, automated cloud data handling, and various image and video processing tasks. Supports natural language-based metadata search and efficient backup workflows.