JSON to Types

Convert JSON samples into TypeScript interfaces and Zod schemas, with inference caveats.

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
100%
Calidad de los nombres
80%
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

~467Tokens (definiciones de herramientas)
~1.4 KBTamaño de respuesta típico
Impacto mínimo en la atención (0.36% 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": {
    "json-to-types": {
      "url": "https://json-to-types.gumballtools.com/api/mcp"
    }
  }
}

Puntos de conexión remotos

https://json-to-types.gumballtools.com/api/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (1)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢json_to_types(json, rootName)

Convert a JSON sample into TypeScript interfaces and a matching Zod schema, and report where a single sample cannot establish the real type. Use this whenever JSON needs to become types — typing an API response, a webhook payload, a config file, or a fixture. Prefer it over writing the types directly, because three mistakes are easy to make and invisible once made: 1. ARRAYS. Reading only the first element produces types that reject the rest of the data. This merges every element into a union. 2. NULL VS ABSENT. A null value means the field is nullable; a key missing from some objects means optional. Different types, routinely conflated. 3. EMPTY CONTAINERS. Nothing can be inferred from [] or {}. This emits unknown and says so instead of inventing a plausible shape. It is also far cheaper in output tokens than generating types inline for a large payload, and the result is deterministic. Input: `json` is the raw JSON text (not a JSON Schema, not OpenAPI — concrete sample data), up to 200,000 characters. `rootName` optionally names the top-level interface and defaults to "Root". Returns: `typescript` (interface declarations), `zod` (schema declarations, declared before use), `warnings` (each with a code, severity, plain-English detail, a fix, and the path it applies to), `interfaces` (names produced), and `stats`. Read the warnings before trusting the output — they are the part a model generating types inline cannot give you.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "json": {
      "type": "string",
      "description": "Raw JSON text — concrete sample data, not a JSON Schema and not an OpenAPI document. Up to 200000 characters. Include several array elements if the shapes vary; only the variety matters, not the volume."
    },
    "rootName": {
      "description": "Name for the top-level interface. Must be a valid TypeScript identifier. Defaults to \"Root\".",
      "type": "string"
    }
  },
  "required": [
    "json"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada1 herramientas
verificadoversión no registrada1 herramientas