Add PiloTY - AI terminal control MCP server

README.md

@@ -387,6 +387,7 @@ Tools and integrations that enhance the development workflow and environment man
 - [ArchAI-Labs/fastmcp-sonarqube-metrics](https://github.com/ArchAI-Labs/fastmcp-sonarqube-metrics) 🐍 🏠 🪟 🐧 🍎 -  A Model Context Protocol (MCP) server that provides a set of tools for retrieving information about SonarQube projects like metrics (actual and historical), issues, health status.
 - [automation-ai-labs/mcp-link](https://github.com/automation-ai-labs/mcp-link) 🏎️ 🏠 - Seamlessly Integrate Any API with AI Agents (with OpenAPI Schema)
 - [azer/react-analyzer-mcp](https://github.com/azer/react-analyzer-mcp) 📇 🏠 - Analyze React code locally, generate docs / llm.txt for whole project at once
+- [yiwenlu66/PiloTY](https://github.com/yiwenlu66/PiloTY) 🐍 🏠 - AI pilot for PTY operations enabling agents to control interactive terminals with stateful sessions, SSH connections, and background process management
 - [davidlin2k/pox-mcp-server](https://github.com/davidlin2k/pox-mcp-server) 🐍 🏠 - MCP server for the POX SDN controller to provides network control and management capabilities.
 - [CodeLogicIncEngineering/codelogic-mcp-server](https://github.com/CodeLogicIncEngineering/codelogic-mcp-server) 🎖️ 🐍 ☁️ 🍎 🪟 🐧 - Official MCP server for CodeLogic, providing access to code dependency analytics, architectural risk analysis, and impact assessment tools.
 - [Comet-ML/Opik-MCP](https://github.com/comet-ml/opik-mcp) 🎖️ 📇 ☁️ 🏠 - Use natural language to explore LLM observability, traces, and monitoring data captured by Opik.