Promptopia MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Promptopia MCP show me my marketing campaign prompts"
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.
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.
Related MCP server: Clarifyprompt-MCP
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 extractionBackward 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 claudeOption 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
Clone the repository
Install dependencies:
npm installBuild the server:
npm run buildAdd 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 inspectorThe 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.
Available Tools
7 toolsadd_multi_message_promptC
Adds a new multi-message prompt with role-based messages
Inputs: name (required), messages (required), description.
add_promptC
Adds a new prompt to the system (single content format)
Inputs: name (required), content (required), description.
apply_promptC
Applies variables to a template prompt and returns the result
Inputs: id (required), variables (required).
delete_promptC
Deletes a prompt by its ID
Inputs: id (required).
get_promptB
Gets a prompt by its ID
Inputs: id (required).
list_promptsB
Lists all available prompts
Inputs: no named parameters.
update_promptC
Updates an existing prompt (supports both single content and multi-message formats)
Inputs: id (required), name, description, messages.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose: add_multi_message_prompt and add_prompt handle different prompt creation formats, while apply_prompt, delete_prompt, get_prompt, list_prompts, and update_prompt cover specific CRUD operations. There is no overlap or ambiguity between tools.
All tools follow a consistent verb_noun pattern (e.g., add_prompt, delete_prompt, list_prompts) with clear, descriptive names. The naming is uniform throughout, making it easy to understand each tool's function at a glance.
With 7 tools, the server is well-scoped for managing prompts, covering creation (in two formats), retrieval, listing, updating, deletion, and application. This count is appropriate, providing comprehensive functionality without being overwhelming.
The tool set offers complete CRUD coverage for prompts, including both single-content and multi-message formats, along with an apply_prompt tool for variable substitution. There are no obvious gaps, enabling full lifecycle management of prompts.
Maintenance
Related MCP Connectors
The prediction MCP — score your prompt before you generate, so you never waste a credit.
MCP server for Midjourney AI image generation and editing
Your prompt library in any MCP client: list, fetch, save and version prompt templates.
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