🚀 Claude Custom Prompts MCP Server

🌟 Essential Features

🧠 Intelligent Prompt Management → Dynamic template system with real-time reloading → Advanced argument validation and type checking → Context-aware placeholder resolution

⚡ Next-Gen Workflow Engine → Prompt chains for complex multi-step reasoning → Modular category-based organization → Hot-reload capabilities for instant updates

🔮 Future-Ready Architecture → Model Context Protocol (MCP) native implementation → Multi-transport support (STDIO/SSE) → Distributed configuration system

🎛️ Developer Experience 3.0 → Zero-config setup with intelligent defaults → Comprehensive API with RESTful endpoints → Built-in troubleshooting and diagnostics

🎖️ Why Developers Choose This MCP Server

⚡ Lightning Fast Setup

🎯 One-Command Installation

# Clone → Install → Launch in 30 seconds
git clone https://github.com/minipuft/claude-prompts-mcp.git
cd claude-prompts-mcp/server && npm install && npm run build && npm start

🔌 Claude Desktop Integration

Add this configuration to your claude_desktop_config.json:

{
  "mcpServers": {
    "claude-prompts-mcp": {
      "command": "node",
      "args": ["E:\\path\\to\\claude-prompts-mcp\\server\\dist\\index.js"],
      "env": {
        "MCP_PROMPTS_CONFIG_PATH": "E:\\path\\to\\claude-prompts-mcp\\server\\promptsConfig.json"
      }
    }
  }
}

🚀 Instant Usage

# In Claude Desktop
>>friendly_greeting name="Future Developer"
>>content_analysis_chain text="Your content" "innovation"
>>listprompts  # See all available commands

🏗️ System Architecture

graph TB
    A[Claude Desktop] -->|MCP Protocol| B[Transport Layer]
    B --> C[Orchestration Engine]
    C --> D[Prompt Manager]
    C --> E[Chain Executor]
    C --> F[Config Manager]
    D --> G[Template Engine]
    E --> H[Step Processor]
    F --> I[Hot Reload System]

🛠️ Configuration

📋 Server Configuration (config.json)

{
  "server": {
    "name": "Claude Custom Prompts MCP Server",
    "version": "1.0.0",
    "port": 9090
  },
  "prompts": {
    "file": "promptsConfig.json",
    "registrationMode": "name"
  },
  "transports": {
    "default": "stdio",
    "sse": { "enabled": false },
    "stdio": { "enabled": true }
  }
}

🎛️ Prompt Categories (promptsConfig.json)

{
  "categories": [
    {
      "id": "ai-development",
      "name": "AI Development",
      "description": "Next-gen AI prompts"
    },
    {
      "id": "future-code",
      "name": "Future Code",
      "description": "Advanced programming patterns"
    }
  ],
  "imports": [
    "prompts/ai-development/prompts.json",
    "prompts/future-code/prompts.json"
  ]
}

🔗 Advanced Features

# Future Analysis Chain

## User Message Template

Analyze {{topic}} for future implications over {{timeframe}}.

## Chain Steps

1. promptId: research_trends
   stepName: Trend Analysis
   inputMapping: { topic: topic, period: timeframe }
   outputMapping: { trends: current_trends }

2. promptId: predict_evolution
   stepName: Future Prediction
   inputMapping: { trends: current_trends }
   outputMapping: { predictions: future_state }

Based on this conversation context:
{{previous_message}}

Continue the analysis with focus on {{focus_area}}.

# Hot-reload prompts
curl -X POST http://localhost:9090/api/v1/tools/reload_prompts

# Create new prompt
curl -X POST http://localhost:9090/api/v1/tools/update_prompt \
  -d '{"id": "future_prompt", "name": "Future Prompt"...}'

📚 Documentation Hub

🚀 Getting Started

📋 Prerequisites

• Node.js v16+
• npm or yarn package manager
• Claude Desktop application

⚡ Quick Installation

# 1. Clone the repository
git clone https://github.com/minipuft/claude-prompts-mcp.git
cd claude-prompts-mcp/server

# 2. Install dependencies
npm install

# 3. Build the project
npm run build

# 4. Start the server
npm start

🔧 Usage Examples

# List all available prompts
>>listprompts

# Execute a simple prompt
>>friendly_greeting name="AI Developer"

# Run a complex chain
>>content_analysis_chain text="Your analysis text" focus="innovation"

# JSON format arguments
>>research_prompt {"topic": "AI trends", "depth": "comprehensive"}

🎯 Use Cases

🚀 For AI Researchers → Streamline experiment prompts → Chain complex reasoning tasks → Version control prompt templates

💼 For Enterprise Teams → Standardize AI interactions → Share prompt libraries → Maintain consistency across projects

🔮 For Future Builders → Rapid prototype AI workflows → Build sophisticated prompt chains → Scale AI-powered applications

🛟 Troubleshooting

🤝 Contributing to the Future

We welcome contributions from developers building the next generation of AI tools!

# Development setup
git clone https://github.com/minipuft/claude-prompts-mcp.git
cd claude-prompts-mcp/server
npm install
npm run dev  # Watch mode for development

🎯 Current Roadmap:

• Web UI for prompt management
• Advanced prompt analytics
• Multi-model support
• Cloud sync capabilities

🌐 Community & Support

🏷️ SEO Keywords & Topics

claude-ai model-context-protocol mcp-server prompt-templates ai-workflows prompt-chains claude-desktop anthropic ai-automation prompt-management llm-tools ai-development claude-prompts mcp-tools ai-orchestration prompt-engineering ai-agent conversation-ai prompt-library ai-templates