Frequently Asked Questions about RT-Prompt-MCP

Q: What is RT-Prompt-MCP? A: RT-Prompt-MCP is a server based on the Model Context Protocol (MCP) that provides prompt suggestions for Large Language Models (LLMs), focusing on development and design contexts.

Q: What is MCP (Model Context Protocol)? A: MCP is an open protocol standardizing how applications provide context to LLMs, enabling AI models to access and interact with external data sources and tools.

Q: What kind of prompt suggestions does RT-Prompt-MCP offer? A: It offers domain-specific suggestions for backend development, frontend development, and general-purpose tasks.

Q: How does RT-Prompt-MCP enhance LLM performance? A: By providing richer contextual information through specialized tools, leading to more accurate, relevant, and creative AI-generated content.

Q: How do I install RT-Prompt-MCP? A: You can install it globally using npm: npm install -g rt-prompt-mcp

Q: How do I integrate RT-Prompt-MCP with Claude Desktop? A: Configure the mcpServers setting in your Claude Desktop configuration file like this:

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

Q: What are the prerequisites for local development of RT-Prompt-MCP? A: You need Node.js 16+ and npm or yarn installed.

Q: What tools does RT-Prompt-MCP offer? A: It offers get-backend-suggestions, get-frontend-suggestions, and get-general-suggestions.

Q: What parameters are used for get-backend-suggestions? A: context, databaseType, and language.

Q: What parameters are used for get-frontend-suggestions? A: context, framework, and deviceType.

Q: What parameters are used for get-general-suggestions? A: context and taskType.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department.

Q: How does RT-Prompt-MCP integrate with UBOS? A: By enhancing AI agents with better prompts that leverage the UBOS platform’s access to enterprise data and LLM orchestration capabilities.