# File Management

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

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 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 that provides Excel file management and data analysis 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.

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.

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

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.

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

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.

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

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

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.

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.

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.

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

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

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

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

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.

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.