mcp server
rtcf
Turns rough requests into sharp Role/Task/Context/Format prompts. Thai and English.
Description as published by the maintainer. Source
- version 1.0.0
- active
active — Registry entry last updated 2026-07-12.
What this server can do
2 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
build_prompt(role, task, format, context)- 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. Required: role, task.
improve_prompt(prompt)- Rewrite a rough prompt into a sharper, ready-to-use prompt structured as Role, Task, Context, Format (RTCF). Returns the improved prompt plus its four parts. Use this before answering when the user's request is vague, or when the user asks to improve a prompt. Required: prompt.
Last successful function declaration observed on . Source: https://rtcf.happlen.com/api/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://rtcf.happlen.com/api/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-12 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-12 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 2 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | rtcf.happlen.com | |
| mcp endpoint status | ok | The server listed 2 functions when asked. | as of probe | rtcf.happlen.com |
Where to get it
Related, by what their authors tagged them
-
Promptheus
— last commit 2026-03-17, shares chatgpt, prompt-engineering
AI-powered prompt refinement with adaptive questioning and multi-provider support (6+ LLM backends)
-
CompletionKit
— last commit 2026-08-05, shares prompt-engineering
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
-
Promptibus MCP
— last commit 2026-05-11, shares prompt-engineering
Model intelligence for AI agents — syntax, params, pricing for 67+ generative AI models.
-
dev.safeprompt/mcp
— last commit 2026-08-03, shares prompt-engineering
Detect prompt injection, jailbreaks, and code injection in untrusted text before it reaches an LLM.
-
dietrichgebert-ponytail-ponytail
— last commit 2026-07-15, shares prompt-engineering
Lazy senior dev mode for any coding task (write, refactor, fix, review): YAGNI, stdlib first, no unrequested abstractio…
-
dietrichgebert-ponytail-ponytail-audit
— last commit 2026-07-15, shares prompt-engineering
Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or replace with stdlib or native…
-
dietrichgebert-ponytail-ponytail-debt
— last commit 2026-07-15, shares prompt-engineering
Harvest every ponytail: shortcut comment into one debt ledger, so deferrals get tracked instead of forgotten. One-shot…
-
dietrichgebert-ponytail-ponytail-gain
— last commit 2026-07-15, shares prompt-engineering
Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot d…
-
dietrichgebert-ponytail-ponytail-help
— last commit 2026-07-15, shares prompt-engineering
Quick reference for ponytail's modes, skills, and commands. One-shot display.
-
dietrichgebert-ponytail-ponytail-review
— last commit 2026-07-15, shares prompt-engineering
Review a diff for over-engineering. Finds what to delete: reinvented stdlib, needless deps, speculative abstractions. O…
These share tags the maintainers applied themselves, such as chatgpt, prompt-engineering. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: chatgpt, claude, mcp, mcp-server, prompt-engineering, thai.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json