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 from a provided URL

Server Config

{
  "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"
      ]
    }
  }
}

MCP Tools

excel_to_json_mcp_from_data

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

Parameters

Example Request

{
  "tool": "excel_to_json_mcp_from_data",
  "parameters": {
    "data": "NametAgetIsStudentnJohn Doet25tfalsenJane Smitht30ttrue"
  }
}

excel_to_json_mcp_from_url

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

Parameters

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:

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

Pricing

Free for now.

Donation

https://buymeacoffee.com/wtsolutions