SheetShift

Convert and clean tables: CSV, JSON, dedupe, stats. Free.

我該用這個嗎

品質與安全性

B
說明品質
70%
結構描述完整度
80%
命名品質
85%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(2)

  • LOWTool 'clean_table' description lacks action verb在 clean_table 中
  • LOWTool 'split_column' description lacks action verb在 split_column 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~398Token(工具定義)
~574 B典型回應大小
極小的注意力影響(128k 上下文的 0.31%)

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": {
    "sheet-shift": {
      "url": "https://sheet-shift.magicteams.ai/mcp"
    }
  }
}

遠端端點

https://sheet-shift.magicteams.ai/mcpstreamable-http

它能做什麼

工具清單

工具(4)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢convert_table(data, from_format, to_format)

Convert a table string between CSV, TSV, JSON and Markdown.

輸入結構描述

{
  "type": "object",
  "properties": {
    "data": {
      "type": "string"
    },
    "from_format": {
      "type": "string"
    },
    "to_format": {
      "type": "string"
    }
  },
  "required": [
    "data",
    "from_format",
    "to_format"
  ]
}
🟢clean_table(data, format, trim, drop_empty_rows, dedupe)

Trim cells, drop empty rows, dedupe rows in a table string.

輸入結構描述

{
  "type": "object",
  "properties": {
    "data": {
      "type": "string"
    },
    "format": {
      "type": "string"
    },
    "trim": {
      "type": "boolean"
    },
    "drop_empty_rows": {
      "type": "boolean"
    },
    "dedupe": {
      "type": "boolean"
    }
  },
  "required": [
    "data"
  ]
}
🟢column_stats(data, format, column, op)

Sum/avg/min/max/count/distinct over one column (name or 0-based index).

輸入結構描述

{
  "type": "object",
  "properties": {
    "data": {
      "type": "string"
    },
    "format": {
      "type": "string"
    },
    "column": {
      "type": "string"
    },
    "op": {
      "type": "string"
    }
  },
  "required": [
    "data",
    "column",
    "op"
  ]
}
🟢split_column(data, format, column, delimiter, new_names)

Split one column on a delimiter into new columns.

輸入結構描述

{
  "type": "object",
  "properties": {
    "data": {
      "type": "string"
    },
    "format": {
      "type": "string"
    },
    "column": {
      "type": "string"
    },
    "delimiter": {
      "type": "string"
    },
    "new_names": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "data",
    "column",
    "delimiter"
  ]
}

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已驗證未記錄版本4 個工具