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Excel CSV to JSON

MCP Server

Excel to JSON MCP(模型上下文协议)提供了一个标准化接口,用于使用模型上下文协议将Excel和CSV数据转换为JSON格式。此MCP实现提供了两种用于数据转换的特定工具: excel_to_json_mcp_from_data:转换制表符分隔或逗号分隔的文本数据 excel_to_json_mcp_from_url:从提供的URL转换Excel文件(.xlsx)

工具数

2

提示词数

0

GitHub Stars

0

资源数

0
数据转换开发工具自动化处理

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

最后核验

2026/5/17 20:22

快速接入

先看主来源和安装命令,再打开仓库或文档;下面只保留这个条目的关键接入事实。

详细介绍

Excel to JSON MCP by WTSolutions Documentation

Introduction

The Excel to JSON MCP (Model Context Protocol) provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol. This MCP implementation offers two specific tools for data conversion:

  • excel_to_json_mcp_from_data: Converts tab-separated or comma-separated text data
  • excel_to_json_mcp_from_url: Converts Excel file (.xlsx) from a provided URL

Server Config

Using SSE

Transport: SSE

URL: https://mcp.wtsolutions.cn/excel-to-json-mcp-sse

Server Config JSON:

{
  "mcpServers": {
    "excel_to_json_by_WTSolutions": {
      "args": [
        "mcp-remote",
        "https://mcp.wtsolutions.cn/excel-to-json-mcp-sse"
      ],
      "command": "npx",
      "tools": [
        "excel_to_json_mcp_from_data",
        "excel_to_json_mcp_from_url"
      ]
    }
  }
}

Using Streamable HTTP

Transport: Streamable HTTP

URL: https://mcp.wtsolutions.cn/excel-to-json-mcp-shttp

Server Config JSON:

{
  "mcpServers": {
    "excel_to_json_by_WTSolutions": {
      "args": [
        "mcp-remote",
        "https://mcp.wtsolutions.cn/excel-to-json-mcp-shttp"
      ],
      "command": "npx",
      "tools": [
        "excel_to_json_mcp_from_data",
        "excel_to_json_mcp_from_url"
      ]
    }
  }
}

MCP Tools

excel_to_json_mcp_from_data

Converts tab-separated Excel data or comma-separated CSV text data into JSON format.

Parameters

ParameterTypeRequiredDescription
datastringYesTab-separated or comma-separated text data with at least two rows (header row + data row)

Example Request

{
  "tool": "excel_to_json_mcp_from_data",
  "parameters": {
    "data": "Name\tAge\tIsStudent\nJohn Doe\t25\tfalse\nJane Smith\t30\ttrue"
  }
}

excel_to_json_mcp_from_url

Converts an Excel or CSV file from a provided URL into JSON format.

Parameters

ParameterTypeRequiredDescription
urlstringYesURL pointing to an Excel (.xlsx)

Example Request

{
  "tool": "excel_to_json_mcp_from_url",
  "parameters": {
    "url": "https://example.com/path/to/your/file.xlsx"
  }
}

Response Format

The MCP tools return a JSON object with the following structure:

FieldTypeDescription
isErrorbooleanIndicates if there was an error processing the request
msgstring'success' or error description
datastringConverted data as array of sheet objects if using URL, string if using direct data, '' if there was an error. Each sheet object contains 'sheetName' (string) and 'data' (array of objects) if using URL

Example Success Response

{
  "content": [{
    "type": "text",
    "text": "{\"isError\":false,\"msg\":\"success\",\"data\":\"[{\"Name\":\"John Doe\",\"Age\":25,\"IsStudent\":false},{\"Name\":\"Jane Smith\",\"Age\":30,\"IsStudent\":true}]\"}"
  }]
}

Data Type Handling

The API automatically detects and converts different data types:

  • Numbers: Converted to numeric values
  • Booleans: Recognizes 'true'/'false' (case-insensitive) and converts to boolean values
  • Dates: Detects various date formats and converts them appropriately
  • Strings: Treated as string values
  • Empty values: Represented as empty strings

Requirements on data and url

excel_to_json_mcp_from_data

  • Input data must be tab-separated or comma-separated text with at least two rows (header row + data row).

1. The first row will be considered as "header" row, and this API will use it as column names, subsequently JSON keys. 2. The following rows will be considered as "data" rows, and this API will use them as JSON values.

excel_to_json_mcp_from_url

  • Each sheet of the Excel file should contain at least two rows (header row + data row).

1. The first row will be considered as "header" row, and this API will use it as column names, subsequently JSON keys. 2. The following rows will be considered as "data" rows, and this API will use them as JSON values.

  • This Excel file should be in '.xlsx' format.
  • Each sheet of the Excel file will be converted to a JSON object.
  • Each JSON object will have 'sheetName' (string) and 'data' (array of objects) properties.
  • Each JSON object in 'data' array will have properties corresponding to column names.
  • Each JSON object in 'data' array will have values corresponding to cell values.

Error Handling

The API returns descriptive error messages for common issues:

  • Excel Data Format Invalid: When input data is not tab-separated or comma-separated
  • At least 2 rows are required: When input data has fewer than 2 rows
  • Both data and url received: When both 'data' and 'url' parameters are provided
  • Network Error when fetching file: When there's an error downloading the file from the provided URL
  • File not found: When the file at the provided URL cannot be found
  • Blank/Null/Empty cells in the first row not allowed: When header row contains empty cells
  • Server Internal Error: When an unexpected error occurs

Service Agreement and Privacy Policy

By using Excel to JSON MCP, you agree to the service agreement, and privacy policy.

Pricing

Free for now.

Donation

https://buymeacoffee.com/wtsolutions

目录标签

目录标签

数据转换开发工具自动化处理混合部署Excel处理JSON生成

接入字段

传输方式(transport,传输协议)

未说明

鉴权方式(authType,认证方式)

none

工具数量(toolCount,工具数)

2

资源数量(resourceCount,资源数)

0

提示词数量(promptCount,提示词数)

0

权限和风险

未说明none部署方式未说明

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安装前确认

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来源信息

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