CloudBase MCP is the MCP server used by the CloudBase AI ToolKit to orchestrate AI-assisted deployment and configuration of Tencent CloudBase resources. It enables one-click MCP workflows inside supported AI IDEs (such as Cursor, WindSurf, CodeBuddy) by invoking the MCP runtime via npx @cloudbase/cloudbase-mcp@latest. The server automates deployment of CloudBase resources including cloud functions, databases, and static hosting, guided by natural-language prompts from the AI, and provides real-time deployment progress with an access URL upon completion. It supports AI-native generation of deployable CloudBase code with auto-configuration of services, automatic project-type detection, parameter optimization, and end-to-end deployment. Smart debugging capabilities allow AI to read logs, analyze failures, produce fixes, and trigger redeployments. The MCP workflow covers web apps, 微信小程序, and backend services (full-stack readiness) and includes a knowledge-search feature to consult CloudBase documentation and best practices. A flexible workflow is available via /spec or /no_spec commands, enabling either comprehensive end-to-end workflows or rapid iterative development. The MCP toolset in this README indicates extensive coverage across environment, database, function, hosting, and mini-program tooling.