Claude Code Prompt Engineer MCP Server

An advanced Model Context Protocol (MCP) server that intelligently engineers and optimizes prompts for Claude Code, with interactive refinement capabilities and automatic optimization.

Features

🚀 Intelligent Prompt Engineering

• Automatically detects programming language and task type

• Optimizes prompts specifically for Claude Code's capabilities

• Leverages knowledge of Claude Code's tools and workflows

🤖 Interactive Refinement

• Q&A-based prompt clarification system

• Context-aware question generation

• Session-based refinement process

⚡ Automatic Optimization

• Language-specific prompt enhancement

• Task complexity detection

• Claude Code capability awareness

• No external API dependencies - works entirely with built-in capabilities

Related MCP server: code2prompt

Installation & Setup

1. Install Dependencies

npm install

2. Configure Claude Code

Create or update your .mcp.json configuration file:

{
  "mcpServers": {
    "prompt-engineer": {
      "command": "node",
      "args": ["/absolute/path/to/cc_peng_mcp/index.ts"],
      "env": {}
    }
  }
}

3. Restart Claude Code

# Exit current session and start new one
claude

4. Verify Installation

/mcp

You should see prompt-engineer listed as connected.

Usage with Claude Code

🎯 Auto-Optimization (Primary Usage)

Simply use the tools directly - no setup required:

Use the auto_optimize tool to analyze: "fix my React app performance issues"

Interactive Mode for Complex Requests

Use the engineer_prompt tool with interactive=true for: "create a new authentication system"

Direct Prompt Engineering

Use the engineer_prompt tool with prompt="optimize my database queries" and language="python"

Available Tools

auto_optimize ⭐ Primary Tool

Automatically detects and optimizes natural language text:

• text (required): Your natural language text/request

• context (optional): Additional project context

• interactive (optional): Force interactive questioning

engineer_prompt

Manual prompt engineering with specific parameters:

• prompt (required): The raw user prompt that needs engineering

• language (optional): Programming language (auto-detected if not provided)

• context (optional): Additional project context

• interactive (optional): Enable Q&A refinement process

answer_questions

Used to provide answers during interactive sessions:

• sessionId (required): Session ID from interactive mode

• answers (required): Array of answers to the questions

How It Works

1. Natural Language Detection

The system automatically identifies when your text is natural language that needs optimization by detecting:

• Request patterns: "help me", "can you", "i need", "i want"

• Problem descriptions: "issue", "bug", "not working", "broken"

• Task indicators: "create", "build", "fix", "optimize"

• Questions: "how do", "what is", "why is"

• Conversational markers: "i'm", "i think", "not sure"

2. Built-in Intelligence

• No API calls required - uses pattern matching and rule-based optimization

• Language detection via regex patterns for 10+ programming languages

• Task type detection (debug, test, refactor, explain, architecture)

• Complexity analysis based on text length and technical indicators

3. Claude Code Optimization

Prompts are optimized knowing Claude Code's capabilities:

• File system operations (Read, Write, Edit)

• Code search (Grep, Glob patterns)

• Git operations and workflow management

• Todo list management for complex tasks

• Browser automation via Playwright MCP

• GitHub integration

4. Interactive Refinement

When needed, the system:

• Generates clarifying questions based on your prompt

• Creates a session to track the conversation

• Refines the prompt based on your answers

• Delivers a highly optimized final prompt

Example Workflows

🎯 Auto-Optimization Example

Input:

"my website is slow and users are complaining"

Auto-Optimized Output:

**Task:** Debug and fix the following issue:

my website is slow and users are complaining

**Requirements:**
- Use file search tools (Grep/Glob) to locate relevant code
- Read and analyze the problematic files
- Identify the root cause and implement a fix
- Test the solution if possible

**Ready to proceed with this task?**

🤖 Interactive Mode Example

Input: "make my app better"

Questions Generated:

1. What specific aspect needs improvement (performance, readability, maintainability)?

2. What technology stack or programming language are you using?

3. Are there any constraints or requirements I should know about?

After Answers: Creates detailed, structured prompt with your specific requirements.

Benefits

✅ No Setup Required: Works immediately after MCP configuration
✅ No API Keys: Uses only built-in Claude Code capabilities
✅ Context Aware: Understands your project and requirements
✅ Interactive: Asks clarifying questions when needed
✅ Systematic: Structures complex requests properly
✅ Fast: No external API calls for instant optimization

Requirements

• Node.js 16+

• TypeScript support (tsx recommended)

• Claude Code CLI

• No external API keys required

Technical Details

Supported Languages

• JavaScript/Node.js, TypeScript, Python, Java, C++, Rust, Go, PHP, Ruby, C#/.NET

Task Types

• Debug: Bug fixing and error resolution

• Test: Unit testing and test creation

• Refactor: Code improvement and restructuring

• Explain: Code explanation and documentation

• Architecture: System design and patterns

• Code: General coding tasks (default)

Architecture

• Pure pattern matching - no machine learning models

• Rule-based optimization - deterministic and fast

• Session management - for interactive conversations

• Built-in language detection - regex-based patterns

License

MIT License - feel free to modify and distribute.

Installation Guide

See INSTALL.md for detailed installation instructions, troubleshooting, and advanced configuration options.