Prompt Decorators MCP Server

@synaptiai

Basic information

About 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 config

Add this server to your MCP-compatible client using the configuration below.

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

Prompt Decorators MCP Server tools

Tool list not available yet

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Overview

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

Frequently asked questions

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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