# File Management

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

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

An MCP service that allows Claude to save text to local files

An MCP server that provides Excel file management and data analysis functions

The ADLS2 MCP Server is a Model Context Protocol (MCP) server implemented for Azure Data Lake Storage Gen2, providing a standardized interface for file operations through MCP tools.

The GitLab MCP Server is a powerful model context protocol server for GitLab integration, enabling AI assistants to interact with GitLab resources.

The Filesystem MCP Server is a Node.js-based filesystem tool server that follows the Model Context Protocol (MCP), providing AI agents with secure and efficient file access capabilities. It ensures operation security by limiting the project root directory, supports batch operations to reduce communication overhead, and offers rich file management functions such as reading, writing, editing, searching, and permission management.

This is an MCP server integrated with Google Drive, supporting file listing, reading, and searching functions, and automatically converting Google Workspace files to various formats.

A production-level MCP server integrated with the DeepSeek API, providing functions such as code review, file management, and API account management, supporting multi-model selection and JSON-formatted responses.

The Daytona MCP interpreter is a server that implements the Model Context Protocol (MCP) standard, providing AI assistants with the ability to execute Python code and Shell commands in a secure isolated environment.

An MCP server tool designed for AI assistants, supporting operations such as file reading, writing, deletion, and renaming, optimizing the development process and improving coding efficiency.

A Markdown editor server that follows the MCP 2025 standard, providing document editing tools based on semantic structure, supporting intelligent search, content replacement, element operations, and metadata management.

A fully functional MCP server that offers 73 tools covering 11 modules including file system, diagnostics, scripts, time management, network, context, Git operations, user input, version control, clipboard, and text conversion.

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.

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

A cross - platform file system management server built on FastMCP, providing comprehensive file and directory operation APIs, supporting Windows, macOS, and Linux systems, and including functions such as file operations, directory management, and system information query.

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

The Backlog MCP Server provides access to the Backlog API, supporting functions such as project management, issue tracking, and file operations.

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.

This project is an MCP server based on QTMCP, mainly used for local file management of source code, including listing, reading, and writing operations, and depends on the QT-6 framework.

An MCP server for file system operations based on Node.js, providing an SSE interface service for file reading and writing, directory management, file search, etc.

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

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 service compliant with the MCP protocol that automatically organizes receipt files using LLM. It extracts the date, amount, and company name from the receipts, renames them according to the specified format, and stores the files.

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.

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.

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.

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.

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.

A powerful MCP server that provides complete directory analysis and file editing capabilities for AI assistants, including advanced functions such as project structure viewing, file search, content editing, and Git integration.