CSV Import Rehearsal

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

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质量与安全性

A
描述质量
100%
模式完整度
80%
命名质量
80%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~242token 数(工具定义)
~1.7 KB典型响应大小
对注意力的影响极小(占 128k 上下文窗口的 0.19%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

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

远程端点

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

它能做什么

工具清单

工具(1)

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🟢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.

输入模式

{
  "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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