RT-Prompt-MCP Server

Provides domain-specific prompt augmentation for backend, frontend, UI, and general tasks via MCP with a TypeScript-based, easy-to-integrate server.

typescript

1

GitHub Stars

typescript

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "yuyao1999-rt-prompt-mcp": {
      "command": "rt-prompt-mcp",
      "args": []
    }
  }
}

RT-Prompt-MCP is an MCP server that provides prompt augmentation suggestions for development and design contexts. It focuses on delivering domain-specific prompts to help language models generate more targeted, relevant outputs, and it is designed to be easy to integrate with clients that support the MCP protocol.

How to use

You connect a supported MCP client to RT-Prompt-MCP to request prompt augmentations. Use the five specialized tools to get suggestions tailored to backend development, frontend development, general task support, UI design conversions, or backend CRUD conventions. Each tool returns prompts you can compose into your prompts to guide a language model toward the desired result.

How to install

Prerequisites you need before installing: Node.js 16+ and npm or yarn.

npm install -g rt-prompt-mcp

Additional setup and configuration

To run RT-Prompt-MCP as a command-line tool after installation, you can start it directly from the terminal.

Configure the MCP client to connect to RT-Prompt-MCP in your application or environment. Include the following MCP server entry in your client’s configuration to run the server locally.

{
  "mcpServers": {
    "rt-prompt-mcp": {
      "command": "rt-prompt-mcp",
      "args": []
    }
  }
}

Available tools

get_backend_suggestions

Retrieves backend development prompts based on the current context, database type, and language to guide the LLM in generating backend-focused content.

get_frontend_suggestions

Fetches frontend development prompts using the current context, frontend framework, and device type to tailor prompts for UI and client-side tasks.

get_general_suggestions

Provides general-scene prompts for a given context and task type, such as code generation or documentation generation.

get_ui_design_suggestions

Converts UI design prompts by context, design type, and platform to guide the LLM in producing design-oriented prompts.

get_rt_crud_suggestions

Offers backend CRUD development prompts following RT-CRUD conventions, with optional base package path to customize naming.

get_feishu_prompt

Fetches dedicated Feishu-related prompts by prompt name to support Feishu-related workflows.