# File Management

MCP Server Box is a Python project that implements functions such as file search, text extraction, AI queries, and data extraction through the Box API. It integrates the box-sdk-gen library and provides a toolset for interacting with Box files and folders.

An MCP server seamlessly integrated with Google Drive, providing file search, listing, and reading functions, and supporting intelligent conversion of multiple file formats.

A lightweight VSCode extension that connects to Claude Desktop via the MCP protocol, providing file system access and workspace management functions.

This project is a collection of Claude MCP servers that extend Claude's capabilities by connecting to external data sources and APIs, providing real-time weather, movie information, university data, and file management functions.

An MCP server that achieves secure terminal command execution, directory navigation, and file system operations through standardized interfaces

Tafa MCP is a file system management service designed for Claude Desktop, providing comprehensive file operations, directory management, search functions, and security features, supporting fast integration and efficient operation.

STeLA MCP is a Python - based local system operation service that provides secure command execution and file management functions through standardized API interfaces. It uses the MCP protocol architecture to achieve secure interaction between applications and the local system.

A file management system based on Python and the MCP protocol, providing secure directory access and intelligent file classification functions.

This project provides an AI-assisted MCP server for the DevContainer environment, supporting file system operations, directory management, and security mode switching to achieve seamless collaboration between the AI assistant and the containerized development environment.

A repository containing a variety of practical MCP services, providing services such as Git, Google Sheets, Jenkins, and file operations, along with development tutorials

Filesys is a file system server based on the MCP protocol that allows LLM agents to conveniently read, write, and list local files via Python.

A secure file system operation server based on the Model Context Protocol, providing a standardized interface for file management, content search, and editing. All operations are restricted to the configured allowed directories to ensure security.

A powerful project file exploration and analysis tool that provides advanced search, dependency management, and file operation functions

Desktop Commander MCP is a server tool designed for the Claude desktop application, supporting terminal command execution, file system operations, and code editing functions.

This project provides a set of locally running MCP servers that can be integrated with the Claude desktop application to implement functions such as file operations and command execution without an API key.

An implementation of the Model Context Protocol server based on Apache OpenDAL™, providing seamless access to multiple storage services.

An AI service management platform based on Spring-AI, providing file access and API interfaces

This is an MCP server integrated with Google Drive, supporting file listing, reading, and searching functions. It can automatically convert Google Workspace file formats and provide native format access to various file types.

A server - side implementation based on the Model Context Protocol (MCP), providing various tools required by AI agents and LLMs, including SearXNG - driven search functions and file system operations. Supports two implementation methods: It is recommended to use the FastMCP decorator to simplify development, or use the original architecture to implement more complex functions.

Desktop Commander MCP is a server tool designed for the Claude desktop application, allowing AI to execute terminal commands, manage the file system, perform code search and editing operations. It extends the functionality of Claude through the Model Context Protocol (MCP), enabling it to directly interact with the local computer to achieve functions such as command execution, process management, file operations, and code editing.

Proton Drive MCP is a local server that allows AI assistants to interact with Proton Drive files through the MCP protocol, providing operations such as file reading and writing, directory management, etc. It supports cross - platform and ensures data security.

MCP - Filesystem is a file system operation server optimized for intelligent interaction, providing efficient management of large files and complex file systems, including intelligent context management, precise file operations, and advanced search functions.

A server based on FastAPI that provides WebSocket communication, file management, and tool endpoint functions.

The PDF.co MCP Server is a tool that provides PDF processing functions through the Model Context Protocol, supporting various operations such as PDF conversion, editing, searching, security protection, and file management.

An MCP server integrated with the Figma API, providing functions such as file operations, comment management, team project functions, and Webhook management.

This project is a server for the Gemini model based on the MCP protocol, encapsulating Google's Gemini API and providing functions such as text generation, function calling, and file handling.

An MCP server that enables secure terminal command execution, directory navigation, and file system operations through standardized interfaces

A TODO and CHANGELOG file management service based on the MCP protocol

This project implements a Model-Context Protocol (MCP) server and client for MinIO object storage, providing a standardized interaction method, supporting access to text/binary files, querying bucket lists, object operations, etc., and includes a basic client and an Anthropic AI integrated client.

A Python-based Model Context Protocol (MCP) server with a file system backend that provides functions such as note-taking, file operations, directory management, search, compression, and metadata retrieval.