File Management MCP Repositories

Efficiently interacts with JSON files by splitting, merging, and validating data based on specified conditions. Designed for seamless integration with language models to automate JSON data manipulation within development environments.

Facilitates secure access to filesystem operations, enabling users to manipulate files and directories, retrieve metadata, and perform searches through a standardized interface.

Manipulate and visualize PDF forms by extracting field information and highlighting form fields for analysis. Streamline PDF workflows using a toolkit built with MCP and PyMuPDF.

Provides access to multiple cloud storage solutions through a unified interface, enabling file listing, reading, and management across diverse storage backends.

Access Qiniu Cloud storage and intelligent multimedia services through an AI model client. The server provides functionalities for file management, intelligent media processing, and CDN operations.

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.

Facilitates access to and management of local files through an AI agent using the Model Context Protocol, enabling seamless interactions with the filesystem via Python. Supports operations like reading and listing files from specified directories.

Provides tools for interacting with local file systems and executing commands, allowing LLMs to access and manipulate data securely. Implements a standardized protocol for seamless integration with various AI models.

Utilizes FFmpeg for media processing tasks, enabling efficient handling of various audio and video formats. Ensures secure communication and optimized performance for media workflows.

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

Manage and interact with Raindrop.io bookmarks, collections, tags, and highlights using the MCP server interface. Perform CRUD operations, advanced searches, tag management, and receive real-time updates.

Facilitates filesystem operations such as reading and writing files, managing directories, and ensuring secure file handling within specified paths.

Upload and manage projects through a user-friendly interface, enabling seamless handling of single files or entire directories. Integrates various development workflow features for enhanced productivity.

Create custom tools to interact with large language models, facilitating web content fetching and processing of various document formats including PDF, Word, and Excel. Supports advanced features such as OCR for image content in documents and enhances workflow automation.

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

Facilitates document manipulation across Microsoft Word, Excel, and PDF formats, enabling editing, creation, and conversion of various document types seamlessly.

Manage storage spaces and data within the IPFS ecosystem by uploading, downloading, and executing various tasks through a command-line interface integrated with language models.

Interact with FTP servers to manage files and directories using natural language commands. Perform operations such as listing directory contents, uploading and downloading files, and creating or deleting directories.

Integrate applications with Dropbox for managing files, folders, and account information using MCP-compatible clients. Leverage Dropbox's public API to interact with essential Dropbox functionalities.

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

Edit files using a TypeScript MCP server, based on Anthropic's filesystem editing tools. It facilitates direct file manipulation while working with MCP protocols.

Manage S3 buckets and objects, handle lifecycle configurations, set and retrieve object tags, manage bucket policies, and configure CORS settings.

Retrieve and manage PDF documents stored in AWS S3. Offers access to S3 buckets and their objects, enabling data retrieval for integration with AI models.

A self-hostable sandbox for executing commands, reading and writing files, and browsing the web across various platforms like iOS and Android. The server supports executing Linux commands and Python scripts, making it suitable for running complex analyses and generating documents like PDFs and diagrams.

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

Read and analyze binary files, extracting metadata and structure from various binary formats, including Unreal Engine assets. The server features an extensible architecture for adding support for new binary formats as needed.

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

Manipulate video files by resizing them to various resolutions and extracting audio in multiple formats. Interact with video processing capabilities using natural language requests via API calls.

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.

Enables LLMs to read, search, and analyze code files while providing advanced caching and real-time file watching capabilities. Facilitates file operations and code analysis to improve development workflows and quality metrics.