What is Promptopia Mcp

Promptopia MCP is a powerful Model Context Protocol (MCP) server designed for managing, organizing, and reusing prompt templates with variable substitution and multi-message conversation structures.

Use cases

Use cases for Promptopia MCP include creating complex conversation flows for customer support bots, developing interactive storytelling applications, and managing prompts for AI content generation across different platforms.

How to use

To use Promptopia MCP, integrate it into your AI workflow by connecting to the server via the MCP protocol. You can create, store, and manage prompt templates, utilizing the automatic variable detection and substitution features.

Key features

Key features include centralized prompt management, advanced multi-message support, intelligent variable substitution, seamless MCP integration, and a future-proof architecture designed for extensibility.

Where to use

Promptopia MCP can be used in various AI applications that require efficient prompt management, such as chatbots, virtual assistants, and any system that utilizes AI-driven conversations.

Promptopia MCP

A powerful Model Context Protocol (MCP) server for managing, organizing, and reusing prompt templates with variable substitution and multi-message conversation structures.

Introduction

Promptopia MCP is a comprehensive MCP server that enables AI applications to efficiently manage prompt templates through the Model Context Protocol. The server provides persistent storage for both single-content prompts and sophisticated multi-message conversation templates, complete with automatic variable detection, substitution capabilities, and seamless integration with MCP-compatible AI clients.

Built with TypeScript and designed for scalability, Promptopia MCP transforms how you work with AI prompts by providing a centralized, reusable prompt management system that integrates directly into your AI workflow through the standardized MCP protocol.

Why Use This Server?

• Centralized Prompt Management: Store, organize, and version all your prompt templates in one secure location with filesystem persistence, eliminating scattered prompt files and ensuring consistency across projects.

• Advanced Multi-Message Support: Create sophisticated conversation templates with role-based message structures (user/assistant) that support both text and image content, enabling complex AI interaction patterns.

• Intelligent Variable Substitution: Automatically detect variables using {{variable}} syntax and apply dynamic values at runtime, making your prompts flexible and reusable across different contexts and use cases.

• Seamless MCP Integration: Native MCP protocol support means your prompts automatically become available as first-class resources in Claude Desktop, IDEs, and other MCP-compatible applications without additional configuration.

• Future-Proof Architecture: Built with extensibility in mind, supporting prompt chains, conditional logic, versioning, and advanced workflow patterns for evolving AI interaction needs.

Features

Core Prompt Management

• Create and Store Prompts: Add both single-content and multi-message prompts with automatic variable detection
• Retrieve and List: Access individual prompts by ID or browse all available templates with metadata
• Update and Delete: Modify existing prompts or remove outdated templates with full CRUD operations
• Variable Application: Replace template variables with actual values for immediate use

Multi-Message Conversation Support

• Role-Based Messages: Structure conversations with explicit user and assistant message roles
• Mixed Content Types: Support for text and image content within the same conversation template
• Cross-Message Variables: Extract and apply variables across multiple messages in a conversation
• Format Conversion: Seamlessly convert between single-content and multi-message formats as needed

MCP Protocol Integration

• Native MCP Prompts: Expose stored prompts as MCP prompts for direct use in compatible applications
• Tool-Based Access: Complete set of MCP tools for prompt management operations
• Standardized Communication: Full compliance with MCP protocol specifications for reliable integration
• Real-Time Variable Resolution: Apply variables through the MCP protocol for dynamic prompt execution

Advanced Capabilities

• Automatic Variable Detection: Parse {{variable}} patterns from prompt content with intelligent extraction
• Backward Compatibility: Maintain support for existing single-content prompts while adding new features
• File System Persistence: Reliable JSON-based storage with organized directory structure
• Error Handling: Comprehensive error management with informative MCP-compliant error responses
• Type Safety: Full TypeScript implementation with robust type definitions and validation

Planned Features

• Conditional Logic: Add branching and conditional execution to prompt templates
• Version Control: Track changes and maintain prompt history with rollback capabilities
• Search and Tagging: Organize prompts with metadata and full-text search functionality
• Import/Export: Backup and share prompt collections across different environments

Installation

Installing via Smithery

To install Promptopia for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @lumile/promptopia-mcp --client claude

Option 1: NPX (Recommended)

Add this configuration to your Claude Desktop config file:

{
  "mcpServers": {
    "promptopia-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "promptopia-mcp"
      ],
      "env": {
        "PROMPTS_DIR": "<YOUR_PROMPTS_DIR>"
      }
    }
  }
}

Option 2: Local Installation

1. Clone the repository
2. Install dependencies:

npm install

3. Build the server:

npm run build

4. Add this configuration to your Claude Desktop config:

{
  "mcpServers": {
    "promptopia-mcp": {
      "command": "node",
      "args": [
        "/path/to/promptopia-mcp/build/index.js"
      ],
      "env": {
        "PROMPTS_DIR": "<YOUR_PROMPTS_DIR>"
      }
    }
  }
}

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Contributing

Contributions are extremely welcome! Please open a PR with new MCP servers or any other improvements to the codebase.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Made with ❤️ by Lumile

Contact us for any questions or feedback.