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CSV Import Rehearsal

Simulate a CSV import against a supplied typed column contract and return exact accepted rows, re...

我該用這個嗎

品質與安全性

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

根據工具定義與協定合規性的自動化分析。

上下文成本

~242Token（工具定義）
~1.7 KB典型回應大小
極小的注意力影響（128k 上下文的 0.19%）

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": {
    "csv-import-rehearsal": {
      "url": "https://mcp-factory.bowling-anthony.workers.dev/csv-import-rehearsal/mcp"
    }
  }
}

遠端端點

https://mcp-factory.bowling-anthony.workers.dev/csv-import-rehearsal/mcpstreamable-http

它能做什麼

工具清單

工具（1）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢rehearse_csv_import(csv, delimiter, columns, allow_extra_columns)

Simulate a CSV import against a supplied typed column contract and return exact accepted rows, rejected rows, proposed normalizations and formula-risk cells. The rehearsal never writes an import destination. Price: 0.03 USDC per completed bounded job on Base.

輸入結構描述

{
  "type": "object",
  "properties": {
    "csv": {
      "type": "string"
    },
    "delimiter": {
      "type": "string",
      "enum": [
        ",",
        ";",
        "\t"
      ]
    },
    "columns": {
      "type": "array",
      "minItems": 1,
      "maxItems": 50,
      "items": {
        "type": "object",
        "additionalProperties": false,
        "required": [
          "name",
          "type"
        ],
        "properties": {
          "name": {
            "type": "string",
            "minLength": 1
          },
          "type": {
            "type": "string",
            "enum": [
              "string",
              "integer",
              "decimal",
              "boolean",
              "date"
            ]
          },
          "required": {
            "type": "boolean"
          },
          "trim": {
            "type": "boolean"
          },
          "enum": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "minItems": 1
          }
        }
      }
    },
    "allow_extra_columns": {
      "type": "boolean"
    }
  },
  "required": [
    "csv",
    "columns"
  ],
  "additionalProperties": false
}

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