# File Management

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.

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

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 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.

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 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 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.

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

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.

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 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.

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.

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.

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

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

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

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

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.

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 service that allows Claude to save text to local files

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.

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

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 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.

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 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.

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.

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