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

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

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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 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.

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

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.

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.

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.

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.

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.