# 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.

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

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.

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.

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.

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 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.

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.

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 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.

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.

An MCP server that achieves 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

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

Tusky MCP Server is a bridge server connecting Tusky storage/Mastodon integration with AI assistants, enabling AI systems such as Claude to securely access and operate data in Tusky through the Model Context Protocol. It provides functions such as authentication, storage management, file operations, search, and TUS - protocol uploads.

The AiDD MCP Server is a service that provides comprehensive tools for AI-driven development workflows, including file operations, code analysis, Git management, code execution, and system information retrieval. It aims to enhance the auxiliary capabilities of AI in software development.

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

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.

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.

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 file system server optimized for WSL, which improves file operation performance through native Linux commands and supports file access and management across Windows and Linux.

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.

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.

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 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.

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.