AI终端管理器 - 支持MCP协议的多线程终端系统，提供并发执行、智能调度、交互检测、Web界面等功能
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# AI-MCP Terminal [](https://pypi.org/project/ai-mcp-terminal/) [](https://www.python.org/downloads/) [](LICENSE) > 🚀 Multi-threaded terminal management for AI assistants with real-time web monitoring **Solve terminal blocking issues** - Commands run async, never block AI operations. Monitor up to **100 concurrent terminals** with intelligent cleanup and system tracking. --- ## ✨ Key Features ### Core Capabilities * 🚀 **Async Execution** - Commands never block AI operations * 🔢 **Multi-Threading** - 100 concurrent terminals with ThreadPoolExecutor * 🧹 **Auto Cleanup** - Smart idle session detection & memory management * ⚡ **Batch Operations** - Execute across multiple terminals simultaneously * 📊 **Web Monitor** - Real-time xterm.js interface with system stats ### Smart Execution (v1.0.52+) * 🔗 **Workflow Engine** - Execute tasks with dependencies (DAG support) * ⏳ **Smart Waiting** - Block until specific tasks complete * 📝 **Sequential Execution** - Run commands in strict order * 🔄 **Auto Retry** - Automatic retry on transient failures * 📂 **Project Lock** - Terminals always start in project directory ### Platform Support * 🐧 **WSL Priority** - Auto-detect WSL bash on Windows (preferred) * 🌐 **UTF-8 Support** - Proper encoding, no garbled text * 🛑 **Anti-Loop Protection** - Prevents AI from getting stuck in query loops --- ## 🚀 Quick Start (1 Minute) ### Step 1: Add MCP Configuration Add to your Cursor/Cline MCP settings: ```json { "mcpServers": { "ai-mcp-terminal": { "command": "uvx", "args": ["ai-mcp-terminal"], "env": {} } } } ``` ### Step 2: Restart IDE ### Step 3: Start Using In Cursor: ``` Create 3 terminals and run system checks in parallel ``` **AI w…
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