Prompt Decorators MCP Server

@synaptiai

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基本信息

分类

开发工具

许可证

Apache-2.0

传输方式

stdio

作者

synaptiai

关于 Prompt Decorators MCP Server

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.

#ai #mcp#decorators#specification#ai-tools #prompt-engineering #prompt-templates#ai-standards#mcp-server

Prompt Decorators MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "prompt-decorators": {
      "command": "python",
      "args": [
        "-m",
        "prompt_decorators",
        "verify"
      ]
    }
  }
}

Prompt Decorators MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Prompt Decorators?

Prompt Decorators is a comprehensive framework that standardizes how prompts for Large Language Models (LLMs) are enhanced, structured, and transformed. It includes both an official specification and a Python reference implementation, plus a Model Context Protocol (MCP) server that enables decorator functionality in tools like Claude Desktop.

How to use Prompt Decorators?

Install the package via pip install prompt-decorators (or with [mcp] for MCP integration). Load decorator definitions, create decorator instances with parameters, and apply them to prompts. The MCP server can be run alongside Claude Desktop for on‑the‑fly decorator usage.

Key features of Prompt Decorators

Standardized annotation system inspired by software design patterns
140+ pre‑built decorators for reasoning, formatting, and more
Registry‑based decorator management with parameter validation
Composability: combine multiple decorators cleanly
MCP server integration for desktop AI applications
Claude Code plugin with inline sigil expansion

Use cases of Prompt Decorators

Craft prompts for specific reasoning patterns (e.g., StepByStep, Reasoning)
Structure outputs in consistent formats with OutputFormat decorators
Ensure uniform model behavior across different LLMs and platforms
Reduce token consumption by replacing verbose instructions with concise annotations

常见问题

What are Prompt Decorators?

Prompt Decorators are composable annotations (e.g., `+++Reasoning(depth=comprehensive)`) that modify LLM behavior without rewriting the core prompt.

How do I install Prompt Decorators?

Run `pip install prompt-decorators`. For MCP integration, use `pip install "prompt-decorators[mcp]"`.

What is the MCP server for?

The MCP server enables prompt decorator functionality in tools like Claude Desktop, allowing users to apply decorators directly within those applications.

Does Prompt Decorators work with any LLM?

Yes, the specification is platform‑agnostic. The Python implementation and MCP server work with any LLM that accepts prompt modifications.

Where do decorators get defined?

Decorators are defined in a standardized JSON registry and loaded at runtime. The package includes a comprehensive library of 140+ built‑in decorators.

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