jsonaut
Repair malformed JSON from LLM/agent output; optional JSON Schema coercion. Free + x402 paid.
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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": {
"jsonaut": {
"url": "https://jsonaut.jsonaut-shaurya.workers.dev/mcp"
}
}
}Puntos de conexión remotos
https://jsonaut.jsonaut-shaurya.workers.dev/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (4)
⚪repair_json(input, schema, allow_llm_fallback)
Repair malformed JSON (trailing commas, single quotes, truncation, markdown fences, comments, python literals) and optionally validate/coerce it against a JSON Schema. Deterministic repair is free. If it fails and allow_llm_fallback is true, a paid LLM repair is attempted (requires x402 payment; charged only on success).
Esquema de entrada
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The possibly-malformed JSON text"
},
"schema": {
"type": "object",
"description": "Optional JSON Schema the output must conform to"
},
"allow_llm_fallback": {
"type": "boolean",
"default": false,
"description": "Permit the paid LLM repair tier"
}
},
"required": [
"input"
]
}🟢validate_json(input, schema)
Validate a JSON string against a JSON Schema. Free. Returns validity and a list of violations.
Esquema de entrada
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The JSON text to validate"
},
"schema": {
"type": "object",
"description": "The JSON Schema to validate against"
}
},
"required": [
"input",
"schema"
]
}🟢extract_json(input, schema, allow_llm_fallback)
Extract JSON embedded in arbitrary text — LLM prose, chat messages, logs, emails — then repair and validate it. Deterministic extraction is free. If no JSON can be located and allow_llm_fallback is true, a paid LLM extracts structured data from the text (requires x402 payment; charged only on success). Pass a JSON Schema to shape the output.
Esquema de entrada
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "Text that may contain JSON"
},
"schema": {
"type": "object",
"description": "Optional JSON Schema the output must conform to"
},
"allow_llm_fallback": {
"type": "boolean",
"default": false,
"description": "Permit the paid LLM extraction tier"
}
},
"required": [
"input"
]
}🟡infer_schema(input, as_samples)
Infer a JSON Schema (draft 2020-12) from an example JSON value. Free and deterministic. Set as_samples=true when the input is an array of example objects of the same shape to merge them into one schema. Turns sample agent/tool output into a reusable schema.
Esquema de entrada
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "A JSON value (or array of samples) to infer a schema from"
},
"as_samples": {
"type": "boolean",
"default": false,
"description": "Treat a top-level array as multiple samples of one shape"
}
},
"required": [
"input"
]
}Comunidad
Evidencia