现代AI交互工具，具备先进界面和强大功能的模型上下文协议（MCP）

🚀 核心功能

🎯 主要功能

• 交互式界面弹窗用于内容输入和对话控制
• 文件/文件夹附件 从工作区带验证和预览
• ** 🖼️ 图像附件系统**，支持拖放，多图像支持。
• 多语言支持（英语/越南语）
• 最大认知能力激活以实现AI峰值表现
• 基于标签的输出格式与系统提示词规则集成
• 工作区感知路径处理以实现跨项目兼容性

🔧 v2.2.0 新内容（最新）

• ** 🖼️ 图像附件支持**，支持拖放功能
• ** 🛡️ 安全性增强** - user_images目录中的安全路径存储
• ** 💾 持久图像状态** - 复选框状态正确保存
• ** 🎯 多图像管理** - 附加、预览和删除多张图片
• ** 🔄 数据库自动清理** - 禁用时自动图像清理

🔧 之前的版本 2.1.0

• 增强的用户界面/用户体验，采用现代PyQt5接口
• **结构化标签输出，实现完美的AI代理集成

AI Interaction Tool - MCP Server

Modern AI interaction tool with advanced UI and powerful features for Model Context Protocol (MCP)

🚀 Core Features

🎯 Main Capabilities

• Interactive UI Popup for content input and conversation control
• File/Folder Attachment from workspace with validation and preview
• 🖼️ Image Attachment System with drag & drop, multi-image support
• Multi-language Support (English/Vietnamese)
• Maximum Cognitive Power activation for peak AI performance
• Tag-based Output Format integrated with system prompt rules
• Workspace-aware Path Processing for cross-project compatibility

🔧 New in v2.2.0 (Latest)

• 🖼️ Image Attachment Support with drag & drop functionality
• 🛡️ Security Enhanced - secure path storage in user_images directory
• 💾 Persistent Image State - checkbox state saves correctly
• 🎯 Multi-image Management - attach, preview, and remove multiple images
• 🔄 Database Auto-cleanup - automatic image cleanup when disabled

🔧 Previous v2.1.0

• Enhanced UI/UX with modern PyQt5 interface
• Structured Tag-based Output for perfect AI agent integration
• Debounce Configuration with smart auto-save mechanisms
• Cursor IDE Integration with comprehensive setup guide

📋 Installation & Setup Guide

📥 Step 1: Clone Repository

git clone https://github.com/your-username/AI-interaction.git
cd AI-interaction

🐍 Step 2: Install Python

• Requirement: Python 3.8+
• Download from python.org
• Or use package manager:

  # Windows with Chocolatey
  choco install python
  
  # macOS with Homebrew
  brew install python
  
  # Ubuntu/Debian
  sudo apt update && sudo apt install python3 python3-pip
  

📦 Step 3: Install Dependencies

# Using pip
pip install -r requirements.txt

# Or using uv (recommended for performance)
pip install uv
uv pip install -r requirements.txt

⚙️ Step 4: Configure MCP Server in Claude Desktop

Add the following configuration to Claude Desktop config file:

Config file paths:

• Windows: %APPDATA%\Claude\claude_desktop_config.json
• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Linux: ~/.config/claude/claude_desktop_config.json

Configuration content:

{
  "mcpServers": {
    "AI_interaction": {
      "command": "python",
      "args": ["E:/MCP-servers-github/AI-interaction/mcp_server.py"],
      "stdio": true,
      "enabled": true
    }
  }
}

⚠️ Important: Replace E:/MCP-servers-github/AI-interaction/mcp_server.py with the absolute path to mcp_server.py on your system.

🧠 Step 5: Configure AI Agent Rules (REQUIRED)

For proper AI agent operation with ai_interaction tool, you MUST setup custom instructions:

📋 How to Add Custom Instructions: