# File Management

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

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.

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.

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.

The MCP toolkit is a comprehensive implementation of the model context protocol server, providing a rich set of local system interaction tools for AI assistants

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.

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

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 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 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 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 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.

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

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

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 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.

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.

The Storm MCP server is an open protocol that implements the Anthropic Model Context Protocol, supports the integration of LLM and RAG data sources, and provides functions such as context sharing, tool system, file management, and API integration.

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 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.

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.

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

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.