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索引已觀測

StructForge

Turn messy text into strict JSON schemas agents can trust (invoice, receipt, contact, resume).

我該用這個嗎

品質與安全性

A
說明品質
92%
結構描述完整度
95%
命名品質
90%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目（1）

  • LOWTool 'extract_table' description lacks action verb在 extract_table 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~526Token（工具定義）
~714 B典型回應大小
極小的注意力影響（128k 上下文的 0.41%）

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案：

{
  "mcpServers": {
    "structforge": {
      "url": "https://structforge.askqa.app/mcp"
    }
  }
}

遠端端點

https://structforge.askqa.app/mcpstreamable-http

它能做什麼

工具清單

工具（6）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪structure_text(text, schema_name)

Convert messy text to strict JSON schema. Use for emails, chat logs, unstructured input. Schemas: invoice, receipt, contact, resume.

輸入結構描述

{
  "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).

輸入結構描述

{
  "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.

輸入結構描述

{
  "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).

輸入結構描述

{
  "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).

輸入結構描述

{
  "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.

輸入結構描述

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Schema name; omit to list all"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

建議的提示詞

retrieve_data
Get details about [item] from StructForge
預期的工具： get_schema
fetch_info
Fetch [information type] using StructForge
預期的工具： get_schema

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已驗證未記錄版本6 個工具
已驗證未記錄版本6 個工具