Prompt Decorators Framework

Example Use Cases

• 1

  Standardized and composable prompt annotations to control LLM behavior.

• 2

  Integration with desktop AI applications via the Model Context Protocol.

• 3

  Reusable, modular prompt engineering patterns to improve response consistency.

Description

Prompt Decorators provides a comprehensive framework and MCP server implementation that standardizes how prompts for Large Language Models are enhanced, structured, and transformed using simple, composable decorators. It enables consistent control over AI model responses across platforms by applying annotations that modify reasoning, formatting, and output. The MCP server integration allows seamless use of these decorators in desktop AI applications like Claude Desktop, improving prompt engineering efficiency and reusability.