DeployIt Product Expert

AI product expert answering from live source code, with sources and a verification status.

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
73%
Calidad de los nombres
87%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~831Tokens (definiciones de herramientas)
~1.1 KBTamaño de respuesta típico
Impacto moderado en la atención (0.65% del contexto de 128k)

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": {
    "product-expert": {
      "url": "https://mcp.deployit.ai/demo"
    }
  }
}

Puntos de conexión remotos

https://mcp.deployit.ai/demostreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (3)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢server_info

Describe this MCP server: which product it answers for, which repositories back it, and how fresh the underlying code index is. Instant (no AI). Call it once at the start of a session to confirm you are talking to the right product — if the index is stale or still building, say so instead of trusting deep answers.

Esquema de entrada

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_recent_changes(days)

Instant list of recent changes to "deployit" — the semantic changelog derived from its commits. No AI processing: responds in under a second, costs nothing, and never counts against any quota. Use this FIRST for "what changed", "what's new", "since when" questions; escalate to ask_product_expert only when you need an investigated answer.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "days": {
      "type": "number",
      "minimum": 1,
      "maximum": 90,
      "description": "How many days back (default 14, max 90)."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡ask_product_expert(question, context, depth)

Ask a question about "deployit" and get an answer verified against its live source code and git history. Use it for anything about product behavior, features, settings, limits, error messages, or recent changes. HOW IT WORKS AND HOW LONG IT TAKES: the expert genuinely investigates — it searches and reads the product's real source code before answering. A fresh investigation takes 20-60 SECONDS. Do not give up early, and if a human is waiting, tell them the verified answer may take up to a minute. Repeated questions asked without `context` are served from cache in under a second; the cache resets whenever the product's code changes. IF IT TIMES OUT: you get an error saying the expert could not finish in time. The investigation KEEPS RUNNING in the background — re-ask the IDENTICAL question (same wording, no `context`) about a minute later and the finished answer is served instantly from cache. Retry with the same words; rephrasing restarts the investigation. READING THE ANSWER: it ends with a Sources block (the files and commits actually consulted) and a Verification status carrying both confidence and polarity: - verified: confirmed in the code — safe to relay. - backend_only: the capability exists server-side but has no visible UI path. - not_found: searched, and it does NOT exist — a factual "no", relayable as such. - unknown: the expert could not conclude — do NOT relay as fact; consider retrying with depth "thorough". LIMITS: strictly read-only — it can never change anything. Some topics may be refused by the project's policy. A monthly question quota may apply (the error message says so when reached; cached answers never count). At most 60 requests per minute per access key.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "question": {
      "type": "string",
      "minLength": 3,
      "description": "The question about the product, as specific as possible. Identical wording hits the cache — when retrying after a timeout, repeat the question verbatim."
    },
    "context": {
      "type": "string",
      "description": "Optional context from your own conversation with the end user (symptoms, plan, what they tried…). Makes the answer more targeted, but context-carrying questions are never cached — omit it for generic questions."
    },
    "depth": {
      "type": "string",
      "enum": [
        "quick",
        "thorough"
      ],
      "description": "quick (default): up to ~1 minute of investigation, right for support questions. thorough: digs much deeper for hard questions — expect the timeout-then-retry-from-cache flow."
    }
  },
  "required": [
    "question"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Prompts recomendados

retrieve_data
Get details about [item] from DeployIt Product Expert
Herramientas esperadas: get_recent_changes
fetch_info
Fetch [information type] using DeployIt Product Expert
Herramientas esperadas: get_recent_changes

Comunidad

Califica este servidor

Evidencia

Observaciones recientes

verificadoversión no registrada3 herramientas
verificadoversión no registrada3 herramientas