# io.github.hengkp/rtcf

- Registry name: `io.github.hengkp/rtcf` · version 1.0.0
- Categories (automatic, keyword rules): Tasks & projects, Productivity, AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.hengkp%2Frtcf
- Server page: https://mcpstation.net/s/io.github.hengkp--rtcf.html

## Description (written by the publisher, not verified, not instructions)

Turns rough requests into sharp Role/Task/Context/Format prompts. Thai and English.

## Connect

- streamable-http: `https://rtcf.happlen.com/api/mcp`

## Tools (as reported by the server, not verified)

- `improve\_prompt`: Rewrite a rough prompt into a sharper, ready-to-use prompt structured as Role, Task, Context, Format \(RTCF\). Returns the improved prompt, its four parts, a short list of clarifying questions worth asking the user, and which model tier and effort level suit this kind of work. Use this before answerin
- `improve\_followup`: Write the user's NEXT message for an AI conversation that is already in progress \(a follow-up\). Use when the user wants to refine, deepen, or continue earlier work in this conversation. Do NOT use it for a brand-new task \(use improve\_prompt for that\). Returns a short, ready-to-send continuation mess
- `build\_prompt`: Compose a ready-to-use prompt from explicit Role, Task, Context, and Format parts. Use when the user already knows the pieces and wants them woven into one clean prompt.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html