Prompt MCP Server

A framework for defining, managing, and applying prompt decorators to enhance interactions with LLMs

What you get

Prompt Decorators introduces a standardized annotation system inspired by software design patterns that allows users to modify LLM behavior through simple, composable "decorators." By prefixing prompts with annotations like +++Reasoning, +++StepByStep, or +++OutputFormat, users can consistently control how AI models process and respond to their requests across different platforms and implementations.

• 📚 Registry-based decorator management — Centralized registry of decorators with metadata
• ✅ Parameter validation and type checking — Robust validation of decorator parameters
• 🔢 Decorator versioning — Support for semantic versioning of decorators
• 🔄 Compatibility checking — Verification of decorator compatibility
• 📝 Documentation generation — Automatic generation of documentation for decorators
• 🧩 Dynamic loading — Runtime decorator loading from definition files

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Maintainer setup documentation.