File Management MCP Repositories

Manage TXT files located on the desktop by counting, listing, and creating them through a user-friendly interface. The tool simplifies file management tasks, enabling efficient interactions with TXT files.

Compress images efficiently using the TinyPNG API. Supports both local and remote image compression with minimal setup required.

Access and retrieve content from the macOS clipboard in real-time, supporting text, images, and binary data. Enables integration with AI assistants for seamless interaction with clipboard contents.

Integrates with Google Drive to enable the listing, reading, and searching of files, supporting various file types and converting Google Workspace documents into usable formats. Facilitates seamless access to file management features within applications.

Compress images using the TinyPNG API to reduce file size while maintaining quality. Integrate image optimization into various projects seamlessly.

Manage and optimize desktop images by counting, viewing, and compressing image files in formats like JPG, PNG, and WebP. Customizable quality settings enhance efficiency in image management tasks.

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.

Creates a vector store from local directories and files, enabling semantic search across document contents. Monitors specified directories for file changes and generates vector embeddings to facilitate search functionality.

Manage and manipulate text files through a standardized API, enabling operations like viewing, editing, and creating files in various directories.

Make precise line-based edits to text files using string or regex pattern matching, including the ability to replace entire lines, specific text matches, and handle multiple edits with a preview function for safety.

Node.js implementation of the Model Context Protocol (MCP) for performing various filesystem operations, including file reading and writing, directory management, and file metadata retrieval.

Integrate with the Box API to perform file operations, including file search, text extraction, and AI-based querying. Manage and process Box data efficiently with advanced AI capabilities.

A utility file server that simplifies file management tasks by providing functionalities for uploading, downloading, and controlling access to files. It also supports static file serving, resumable uploads, and WebDAV integration.

Provides capabilities for secure interaction with the local filesystem, enabling reading, writing, and management of files and directories. Supports advanced file operations and targeted updates to enhance AI workflows.

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

Interact with local systems, databases, and external services through file operations, database management, and GitHub integration. Perform secure and efficient commands and transactions to enhance AI applications with real-world capabilities.

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.

Convert video, audio, and image files between various formats using FFmpeg. Check for FFmpeg installation and retrieve information on supported file formats for conversion.

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.

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.

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.

Combine multiple files into a single file efficiently, providing detailed reports on file sizes and merge summaries. Access is restricted to user-defined directories for security.

Standardized interface for interacting with Azure Data Lake Storage Gen2, facilitating file operations through MCP tools.

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.

Manage files on remote FTP, SFTP, and SSH servers, enabling browsing, uploading, downloading, and modifying files and directories seamlessly. Supports multiple simultaneous connections for efficient server management.

Search for files based on specified text fragments in their names, enabling efficient file retrieval based on keywords.

Visualizes and analyzes directory structures with real-time updates, configurable depth, and smart exclusions. Enhances project navigation and organization insights for AI assistants.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation to ensure authorized access to predefined directories, enabling seamless file and directory operations.

An intelligent coding assistant that supports multiple AI models for code generation, modifications, and technical discussions. It can handle various file types for text extraction and data parsing to facilitate development tasks.

Enables seamless integration of messaging capabilities into applications through the SmileAPI, facilitating the sending of text, images, videos, audio, and documents. Leverages pre-built tools to enhance communication workflows.