Which integrations are available for this server?

Delivers prompts and expertise specifically for Node.js API performance analysis, debugging, and optimization, with specialized profiles like 'performance-kai' for Node.js applications. Offers a 'search-assistant' profile specialized for research and information gathering tasks, enhancing Perplexity's search capabilities with development-focused expertise. Provides specialized prompts for React component creation and debugging, offering clean code generation and troubleshooting capabilities for React-specific development challenges. Provides access to an 'expert-software-developer-editor' profile, offering full-stack development guidance and code editing capabilities optimized for Replit's development environment.

How do I use Dev MCP Prompt Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Dev MCP Prompt Server prompt debug-andy 'My React app crashes randomly on mobile devices'" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP DevPrompts

npm version License: MIT TypeScript Model Context Protocol

Curated AI prompts for developers, delivered through the Model Context Protocol

A lightweight MCP server providing battle-tested prompts for AI-powered development workflows. Create specialized agents by combining modular skills, or use expert AI profiles for debugging, SQL optimization, and more.

🚀 Quick Start

Installation

git clone https://github.com/LeonNonnast/mcpdevprompts
cd mcpdevprompts
npm install
npm run build

claude mcp add mcpdevprompts --node /path/to/mcpdevprompts/build/server.js

Usage with Claude


# Use prompts directly
claude prompt debug-andy "My API returns 500 errors randomly"
claude prompt sql-expert "Optimize this slow query"
claude prompt clean-code-clarity-readability "Create a user service with clean code"

Quick Workflow Examples

🔍 Discover Available Profiles & Skills

# See all available AI profiles
claude search_profiles
# Returns: debug-andy, sql-expert, performance-kai, lovable-ai-editor-base, etc.

# List all development skills
claude list_skills
# Returns: clean-code-clarity-readability, testing-strategies, error-handling-best-practices, etc.

👥 Work with AI Profiles

# Use a specialized debugging expert
claude prompt debug-andy "My React app crashes randomly on mobile devices"

# Get SQL optimization help
claude prompt sql-expert "This query takes 30 seconds, how can I optimize it?"

# Performance analysis
claude prompt performance-kai "My Node.js API response time increased by 200%"

🧠 Load Skills into Your Agent

# Load clean code skills
claude load_skills '{
  "skill_ids": ["clean-code-clarity-readability", "clean-code-small-functions"],
  "agent_name": "Clean Code Assistant"
}'

# Load testing expertise
claude load_skills '{
  "skill_ids": ["testing-strategies", "error-handling-best-practices"],
  "agent_name": "Testing Expert"
}'

# Create a full-stack quality agent
claude load_skills '{
  "skill_ids": ["clean-code-clarity-readability", "clean-code-small-functions", "testing-strategies"],
  "agent_name": "Full-Stack Expert"
}'

🎯 Real-World Scenarios

Scenario 1: Debugging Session

# 1. Start with debugging expert
claude prompt debug-andy "API endpoint returns 500 error intermittently"

# 2. Load additional skills for comprehensive solution
claude load_skills '{
  "skill_ids": ["error-handling-best-practices", "testing-strategies"],
  "agent_name": "Debug & Test Expert"
}'

# 3. Now ask for complete solution
"Create robust error handling and tests for this API endpoint"

Scenario 2: Code Quality Review

# 1. Load clean code skills
claude load_skills '{
  "skill_ids": ["clean-code-clarity-readability", "clean-code-small-functions", "clean-code-commenting"],
  "agent_name": "Code Quality Reviewer"
}'

# 2. Review and improve code
"Review this function and suggest improvements following clean code principles"

Scenario 3: Onboard New AI Agent

# 1. Onboard a specialized editor
claude prompt project-onboarding "Introduce lovable-ai-editor-base for code refactoring tasks"

# 2. Combine with additional skills
claude load_skills '{
  "skill_ids": ["clean-code-clarity-readability", "testing-strategies"],
  "agent_name": "Enhanced Code Editor"
}'

Local Development Testing

# Clone and test locally
git clone https://github.com/mcpdevprompts.git
cd server
npm install
npm run build
npm run inspector  # Opens MCP Inspector for testing

Related MCP server: PromptLab MCP Server

📚 Available Prompts

👥 AI Profiles

Expert AI assistants for specialized tasks:

debug-andy: Systematic debugging with root cause analysis
sql-expert: Advanced SQL query optimization and database design
performance-kai: Performance analysis and optimization strategies
lovable-ai-editor-base: AI-powered code editing and refactoring
perplexity-search-assistant: Research and information gathering
replit-expert-software-developer-editor: Full-stack development guidance

🛠️ Skills & Techniques

Development skills and methodologies:

project-onboarding: Introduce specialized AI agents to your workflow
clean-code-clarity-readability: Generate clear, self-explanatory code
clean-code-small-functions: Write focused, single-purpose functions
clean-code-commenting: Add meaningful comments and documentation
error-handling-best-practices: Implement robust error handling
testing-strategies: Create comprehensive test suites

🎯 Specialized Tools

Built-in tools for enhanced functionality:

search_prompts: Find prompts by keyword or category
search_profiles: Find AI profiles by specialization
get_prompt_stats: View prompt collection statistics
get_tool_stats: View available tools and usage
list_skills: List all available development skills
load_skills: Load multiple skills into an agent's knowledge base

Tool Examples:

# Search for profiles
claude search_profiles
# Returns: debug-andy, sql-expert, performance-kai, etc.

# List all available skills
claude list_skills
# Returns: clean-code-clarity-readability, testing-strategies, etc.

# Load multiple skills into an agent
claude load_skills '{"skill_ids": ["clean-code-clarity-readability", "testing-strategies"], "agent_name": "Clean Code Expert"}'
# Returns: Agent loaded with specified skills and ready to use them

# Get collection statistics
claude get_prompt_stats
# Returns: total prompts, categories, effectiveness ratings

💡 Use Cases

For Frontend Developers

# Get clean code generation
claude prompt clean-code-clarity-readability "Create a React component for user profile"

# Small, focused functions
claude prompt clean-code-small-functions "Refactor this large function into smaller parts"

# Add proper documentation
claude prompt clean-code-commenting "Add documentation to this API endpoint"

For Backend Developers

# Database optimization
claude prompt sql-expert "Optimize this N+1 query problem"

# Performance debugging
claude prompt performance-kai "My Node.js API is slow under load"

# Systematic debugging
claude prompt debug-andy "Random 500 errors in production"

For Team Leads

# Agent onboarding
claude prompt project-onboarding "Introduce lovable-ai-editor profile for code review"

# Error handling standards
claude prompt error-handling-best-practices "Establish error handling guidelines"

# Testing strategies
claude prompt testing-strategies "Create testing plan for new microservice"

For Code Quality & Skill Management

# Clean code generation
claude prompt clean-code-clarity-readability "Create a user authentication service"

# Create a specialized agent with multiple skills
claude list_skills  # First see all available skills
claude load_skills '{"skill_ids": ["clean-code-clarity-readability", "clean-code-small-functions", "testing-strategies"], "agent_name": "Code Quality Expert"}'
# Now the agent has all three skills loaded and ready to use

🎪 Skill Management System

Available Skills

Our skill system provides modular development expertise that can be combined into specialized agents:

Clean Code Skills:

clean-code-clarity-readability: Generate self-explanatory code with meaningful names
clean-code-small-functions: Write focused, single-responsibility functions
clean-code-commenting: Add meaningful comments and documentation

Development Skills:

testing-strategies: Create comprehensive test suites and testing plans
error-handling-best-practices: Implement robust error handling patterns
project-onboarding: Guide specialized AI agents into workflow integration

Skill Workflow

1. Discover Available Skills

claude list_skills

Returns:

[
  {
    "id": "clean-code-clarity-readability",
    "title": "Generate Clear and Readable Code",
    "description": "Generate self-explanatory code with meaningful names",
    "tags": ["clean code", "readability", "maintainability"],
    "effectiveness": 5
  },
  {
    "id": "clean-code-small-functions",
    "title": "Generate Small, Single-Responsibility Functions",
    "description": "Write focused, single-purpose functions under 20 lines",
    "tags": ["clean code", "functions", "modularity"],
    "effectiveness": 5
  }
]

2. Load Skills into Agent

claude load_skills '{
  "skill_ids": ["clean-code-clarity-readability", "clean-code-small-functions", "testing-strategies"],
  "agent_name": "Clean Code Expert"
}'

Returns:

You are now a Clean Code Expert with the following specialized skills:

[Combined skill prompts...]

You have been equipped with these 3 specialized skills:
- Generate Clear and Readable Code: Generate self-explanatory code with meaningful names
- Generate Small, Single-Responsibility Functions: Write focused, single-purpose functions
- Create Comprehensive Test Suites: Design testing strategies and test plans

Please acknowledge that you have integrated these skills and are ready to apply them.

3. Use Your Specialized Agent

After loading skills, your agent automatically applies them to relevant requests:

# Agent now combines all loaded skills
"Create a user authentication service with clean code and tests"
# → Uses clean code + testing skills together

Pre-Built Skill Combinations

🧹 Clean Code Expert

claude load_skills '{
  "skill_ids": ["clean-code-clarity-readability", "clean-code-small-functions", "clean-code-commenting"],
  "agent_name": "Clean Code Expert"
}'

🧪 Testing Specialist

claude load_skills '{
  "skill_ids": ["testing-strategies", "error-handling-best-practices"],
  "agent_name": "Testing Specialist"
}'

🎯 Full-Stack Quality Agent

claude load_skills '{
  "skill_ids": ["clean-code-clarity-readability", "clean-code-small-functions", "testing-strategies", "error-handling-best-practices"],
  "agent_name": "Full-Stack Quality Agent"
}'

Benefits of Skill Management

🔧 Modular: Mix and match skills for specific needs
📈 Scalable: New skills integrate seamlessly
👥 Collaborative: Share skill combinations with your team
🎯 Focused: Create highly specialized agents for specific tasks
💡 Intelligent: Skills work together contextually

🏗️ Architecture

mcpdevprompts/
├── src/                    # TypeScript source code
│   ├── server.ts          # Main MCP server
│   ├── prompt-manager.ts  # Prompt loading and management
│   ├── tool-manager.ts    # Tool management system
│   └── utils/
├── public/
│   ├── prompts/
│   │   ├── profiles/      # AI assistant profiles
│   │   ├── skills/        # Development skills & techniques
│   │   └── onboarding/    # Project & team setup
│   ├── tools/             # MCP tools definitions
│   └── schema/            # JSON schemas for validation
├── build/                 # Compiled JavaScript
└── docs/                  # Documentation

🔧 Development

Prerequisites

Node.js 18.0.0 or higher
npm or yarn

Setup

# Clone the repository
git clone https://github.com/mcpdevprompts/server.git
cd server

# Install dependencies
npm install

# Build the project
npm run build

# Run in development mode
npm run dev

# Test with MCP Inspector
npm run inspector

Adding New Prompts

Choose the right category:
- profiles/ - AI assistant personalities
- skills/ - Development techniques
- onboarding/ - Setup and integration

Follow the schema (see public/schema/prompt-schema.json):

{
  "id": "unique-prompt-id",
  "title": "Human-readable title",
  "description": "What this prompt does",
  "category": "profiles|skills|onboarding",
  "tags": ["relevant", "searchable", "tags"],
  "prompt": "Your detailed prompt text here...",
  "examples": [
    {
      "input": "Example input",
      "output": "Expected output description"
    }
  ],
  "effectiveness": 4.5,
  "author": "Your Name",
  "version": "1.0.0",
  "created_at": "2024-01-01T00:00:00Z",
  "updated_at": "2024-01-01T00:00:00Z"
}

Test thoroughly with various inputs
Submit a pull request with clear description

Adding New Tools

Tools extend the MCP server functionality with custom operations. Follow these steps:

Choose a meaningful tool name (e.g., analyze_code, generate_tests, check_dependencies)

Create the tool definition in public/tools/your-tool.json:

{
  "id": "analyze_code_complexity",
  "name": "analyze_code_complexity",
  "description": "Analyze code complexity and suggest improvements",
  "input_schema": {
    "type": "object",
    "properties": {
      "code": {
        "type": "string",
        "description": "The code to analyze"
      },
      "language": {
        "type": "string",
        "description": "Programming language (js, ts, py, etc.)"
      },
      "metrics": {
        "type": "array",
        "items": { "type": "string" },
        "description": "Metrics to calculate (cyclomatic, cognitive, etc.)"
      }
    },
    "required": ["code", "language"]
  }
}

Implement the tool logic in src/server.ts CallToolRequestSchema handler:

case "analyze_code_complexity":
  if (!args || typeof args.code !== "string") {
    throw new McpError(ErrorCode.InvalidRequest, "Code parameter is required");
  }

  const analysis = await this.analyzeCodeComplexity(args.code, args.language);
  return {
    content: [
      {
        type: "text",
        text: JSON.stringify(analysis, null, 2)
      }
    ]
  };

Test the tool with MCP Inspector and various inputs

Tool Ideas:

validate_env_vars: Check environment variable completeness
generate_tests: Create unit tests for given code
check_dependencies: Analyze package.json for vulnerabilities
format_sql: Format and validate SQL queries
analyze_performance: Detect performance bottlenecks
generate_docs: Create documentation from code comments

📊 Quality Standards

All prompts must meet these criteria:

Effectiveness: Average rating of 4.0+ from community testing
Clarity: Clear, actionable instructions
Completeness: Comprehensive coverage of the task
Best Practices: Follow current industry standards
Accessibility: Consider accessibility requirements where applicable

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Types of Contributions

New Prompts: Add high-quality prompts for common development tasks
Prompt Improvements: Enhance existing prompts based on user feedback
Documentation: Improve setup guides and usage examples
Bug Fixes: Report and fix issues with the server
Tools: Add new MCP tools for enhanced functionality

🔒 Security

No sensitive data in prompts
Input validation for all user inputs
Rate limiting on API endpoints
Regular security audits
Schema validation for all prompts and tools

🎯 Roadmap

Phase 1: TypeScript MCP server with core prompts
Phase 2: AI profiles and specialized tools
Phase 3: Skill management system with combinable expertise
Phase 4: Community contributions and rating system
Phase 5: IDE integrations and advanced analytics
Phase 6: Custom prompt collections and enterprise features

📝 License

MIT License - see LICENSE for details.

🙏 Acknowledgments

Inspired by the Context7 MCP Server
Built on the Model Context Protocol
Community prompt contributors

📞 Support

Made with ❤️ by the MCP DevPrompts community