StructForge
Turn messy text into strict JSON schemas agents can trust (invoice, receipt, contact, resume).
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Calidad y seguridad
Hallazgos (1)
- LOWTool 'extract_table' description lacks action verben extract_table
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": {
"structforge": {
"url": "https://structforge.askqa.app/mcp"
}
}
}Puntos de conexión remotos
https://structforge.askqa.app/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (6)
⚪structure_text(text, schema_name)
Convert messy text to strict JSON schema. Use for emails, chat logs, unstructured input. Schemas: invoice, receipt, contact, resume.
Esquema de entrada
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Raw text to structure"
},
"schema_name": {
"type": "string",
"default": "generic",
"description": "Target schema: invoice, receipt, contact, resume"
}
},
"required": [
"text"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢parse_invoice(text)
Parse invoice text into vendor, amount, due_date, line_items (with math_check).
Esquema de entrada
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Invoice text or PDF extract"
}
},
"required": [
"text"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢extract_table(html)
Extract HTML or markdown tables into JSON rows.
Esquema de entrada
{
"type": "object",
"properties": {
"html": {
"type": "string",
"description": "HTML or table content"
}
},
"required": [
"html"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪normalize_data(data, target_schema)
Normalize data object to a named schema (invoice, receipt, contact, resume).
Esquema de entrada
{
"type": "object",
"properties": {
"data": {
"type": "object",
"additionalProperties": {},
"description": "Input data object"
},
"target_schema": {
"type": "string",
"description": "Target schema name"
}
},
"required": [
"data",
"target_schema"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪validate_structure(data, schema_name)
Validate JSON against a schema. Enforces field presence and types (string/number/date/array).
Esquema de entrada
{
"type": "object",
"properties": {
"data": {
"type": "object",
"additionalProperties": {}
},
"schema_name": {
"type": "string"
}
},
"required": [
"data",
"schema_name"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_schema(name)
Discover schema shapes. Pass name for one schema, or omit to list all curated schemas.
Esquema de entrada
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Schema name; omit to list all"
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}Prompts recomendados
get_schemaget_schemaComunidad
Evidencia