What runtime does Promptopia Mcp require?
Promptopia Mcp requires Node.js (installed via npm) and an MCP‑compatible client (e.g., Claude Desktop). You must set the `PROMPTS_DIR` environment variable to a writable directory.
@lumile
基本情報
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, comp
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"promptopia-mcp": {
"command": "npx",
"args": [
"-y",
"promptopia-mcp"
],
"env": {
"PROMPTS_DIR": "<YOUR_PROMPTS_DIR>"
}
}
}
}Adds a new prompt to the system (single content format)
Updates an existing prompt (supports both single content and multi-message formats)
Gets a prompt by its ID
Lists all available prompts
Deletes a prompt by its ID
Applies variables to a template prompt and returns the result
Adds a new multi-message prompt with role-based messages
Promptopia Mcp is a Model Context Protocol (MCP) server for managing, organizing, and reusing prompt templates with variable substitution and multi‑message conversation structures. It provides persistent filesystem storage for both single‑content prompts and multi‑message conversation templates, with automatic variable detection and substitution. Built with TypeScript, it integrates natively with MCP‑compatible AI clients like Claude Desktop.
Install automatically via Smithery using npx -y @smithery/cli install @lumile/promptopia-mcp --client claude, or manually by adding a configuration entry to your Claude Desktop config file. The PROMPTS_DIR environment variable must be set to a directory for storing prompts. Alternatively, clone the repository, run npm install and npm run build, then point the MCP server to the built index.js. Debugging is supported via the MCP Inspector (npm run inspector).
{{variable}} placeholdersPromptopia Mcp requires Node.js (installed via npm) and an MCP‑compatible client (e.g., Claude Desktop). You must set the `PROMPTS_DIR` environment variable to a writable directory.
Variables are detected using `{{variable}}` syntax in prompt content. At runtime, you can apply value substitutions to replace these placeholders with actual values before the prompt is used.
All prompts are persisted on the filesystem as JSON files in the directory specified by the `PROMPTS_DIR` environment variable. No external database is needed.
Yes. Example configurations for both NPX and local installations are provided in the README. The server exposes prompts as native MCP resources that Claude Desktop can access.
Future features include conditional logic, version control with rollback, search and tagging, and import/export of prompt collections.

Soar Flight Booking MCP is a remote MCP server available at https://mcp.soar.flights.
🚀 The fast, Pythonic way to build MCP servers and clients.
Painless E2E Automation for Mobile and Web
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
コメント