rtcf
Turns rough requests into sharp Role/Task/Context/Format prompts. Thai and English.
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Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"rtcf": {
"url": "https://rtcf.happlen.com/api/mcp"
}
}
}Puntos de conexión remotos
https://rtcf.happlen.com/api/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (3)
🟢improve_prompt(prompt, target)
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 answering when the user's request is vague, or when the user asks to improve a prompt.
Esquema de entrada
{
"type": "object",
"properties": {
"prompt": {
"type": "string",
"minLength": 1,
"maxLength": 8000,
"description": "The rough prompt or request to restructure"
},
"target": {
"type": "string",
"enum": [
"generic",
"claude",
"gpt"
],
"description": "Which AI family will actually run the improved prompt (\"claude\" or \"gpt\"). Pass your own family so the wording is shaped for it and the model recommendation is concrete. Omit for a provider-neutral prompt."
}
},
"required": [
"prompt"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡improve_followup(next_request, conversation_summary, original_goal)
Write the user's NEXT message for an AI conversation that is already in progress (a follow-up). Use when the user wants to refine, deepen, or continue earlier work in this conversation. Do NOT use it for a brand-new task (use improve_prompt for that). Returns a short, ready-to-send continuation message that anchors to the existing work instead of restarting it. Requires an API key (add ?key=rk_live_... to the connector URL).
Esquema de entrada
{
"type": "object",
"properties": {
"next_request": {
"type": "string",
"minLength": 1,
"maxLength": 8000,
"description": "What the user wants next, or where they are stuck, in their own words"
},
"conversation_summary": {
"type": "string",
"maxLength": 20000,
"description": "2-6 sentences summarizing what the AI last produced and any key decisions so far (you can see the conversation; the tool cannot)"
},
"original_goal": {
"type": "string",
"maxLength": 8000,
"description": "The original goal or starter prompt of the conversation, if known"
}
},
"required": [
"next_request"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪build_prompt(role, task, context, format)
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.
Esquema de entrada
{
"type": "object",
"properties": {
"role": {
"type": "string",
"maxLength": 2000,
"description": "Who the AI should be"
},
"task": {
"type": "string",
"minLength": 1,
"maxLength": 4000,
"description": "What the AI should do"
},
"context": {
"type": "string",
"maxLength": 4000,
"description": "Background the AI needs"
},
"format": {
"type": "string",
"maxLength": 2000,
"description": "How the answer should be shaped"
}
},
"required": [
"role",
"task"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}Comunidad
Evidencia