Build production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming + OpenAI-compatible endpoints, add tools (bash, filesystem, MCP, code execution), memory (in-memory, TDAI, MySQL, MongoDB), observability (OpenTelemetry/Langfuse), and middleware (auth, logging). Use this skill when the user wants to create an AI agent server, build a chatbot backend, set up human-in-the-loop workflows, integrate MCP tools, add agent observability, or deploy an agent API — even if they don't explicitly mention 'CloudBase Agent.'
How to install py?
tencentcloudbase/cloudbase-mcp/py
$npx -y skills add tencentcloudbase/cloudbase-mcp --skill pyInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/tencentcloudbase/cloudbase-mcp" --skill "tencentcloudbase/cloudbase-mcp/py"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/tencentcloudbase/cloudbase-mcp" that are relevant to the current task. Run `npx skills add "https://github.com/tencentcloudbase/cloudbase-mcp"` and select the relevant skills, then follow their instructions.
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