StructForge
Turn messy text into strict JSON schemas agents can trust (invoice, receipt, contact, resume).
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (1)
- LOWTool 'extract_table' description lacks action verbin extract_table
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"structforge": {
"url": "https://structforge.askqa.app/mcp"
}
}
}Remote-Endpunkte
https://structforge.askqa.app/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (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.
Eingabe-Schema
{
"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,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢parse_invoice(text)
Parse invoice text into vendor, amount, due_date, line_items (with math_check).
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Invoice text or PDF extract"
}
},
"required": [
"text"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢extract_table(html)
Extract HTML or markdown tables into JSON rows.
Eingabe-Schema
{
"type": "object",
"properties": {
"html": {
"type": "string",
"description": "HTML or table content"
}
},
"required": [
"html"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪normalize_data(data, target_schema)
Normalize data object to a named schema (invoice, receipt, contact, resume).
Eingabe-Schema
{
"type": "object",
"properties": {
"data": {
"type": "object",
"additionalProperties": {},
"description": "Input data object"
},
"target_schema": {
"type": "string",
"description": "Target schema name"
}
},
"required": [
"data",
"target_schema"
],
"additionalProperties": false,
"$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).
Eingabe-Schema
{
"type": "object",
"properties": {
"data": {
"type": "object",
"additionalProperties": {}
},
"schema_name": {
"type": "string"
}
},
"required": [
"data",
"schema_name"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_schema(name)
Discover schema shapes. Pass name for one schema, or omit to list all curated schemas.
Eingabe-Schema
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Schema name; omit to list all"
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}Empfohlene Prompts
get_schemaget_schemaCommunity
Nachweis