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JSON to Excel MCP by WTSolutions

by he-yang
README.md8.07 kB
# JSON to Excel MCP by WTSolutions [中文](README-zh.md) ## Introduction The **JSON to Excel MCP** (Model Context Protocol) provides a standardized interface for converting JSON data into CSV format string using the Model Context Protocol. This MCP implementation offers two specific tools for data conversion: - **json_to_excel_mcp_from_data**: Converts JSON data string into CSV format. - **json_to_excel_mcp_from_url**: Converts JSON file from a provided URL (.json format) into CSV format string. JSON to Excel MCP is part of JSON to Excel toolkit by WTSolutions: * [JSON to Excel Web App: Convert JSON to Excel directly in Web Browser.](https://json-to-excel.wtsolutions.cn/en/latest/WebApp.html) * [JSON to Excel Excel Add-in: Convert JSON to Excel in Excel, works with Excel environment seamlessly.](https://json-to-excel.wtsolutions.cn/en/latest/ExcelAddIn.html) * [JSON to Excel API: Convert JSON to Excel by HTTPS POST request.](https://json-to-excel.wtsolutions.cn/en/latest/API.html) * <mark>JSON to Excel MCP Service: Convert JSON to Excel by AI Model MCP SSE/StreamableHTTP request.</mark> (<-- You are here.) ## Server Config Available MCP Servers (SSE and Streamable HTTP): ## Using Stdio (NPX) Server Config JSON: ```json { "mcpServers": { "json_to_excel": { "args": [ "mcp-remote", "https://mcp2.wtsolutions.cn/sse", "--transport", "sse-only" ], "command": "npx" } } } ``` ### Using SSE Transport: SSE URL: https://mcp2.wtsolutions.cn/sse Server Config JSON: ```json { "mcpServers": { "json2excelsse": { "type": "sse", "url": "https://mcp2.wtsolutions.cn/sse" } } } ``` ### Using Streamable HTTP Transport: Streamable HTTP URL: https://mcp2.wtsolutions.cn/mcp Server Config JSON: ```json { "mcpServers": { "json2excelmcp": { "type": "streamableHttp", "url": "https://mcp2.wtsolutions.cn/mcp" } } } ``` ## MCP Tools ### json_to_excel_mcp_from_data Converts JSON data string into CSV format string. #### Parameters | Parameter | Type | Required | Description | |-----------|--------|----------|-----------------------------------------------------------------------------| | data | string | Yes | JSON data string to be converted to CSV. Must be a valid JSON array or object. | > Note: > - Input data must be a valid JSON string. JSON schema available at [JSON Schema](https://json-to-excel.wtsolutions.cn/en/latest/profeatures.html#acceptable-json-format) and validator available at [JSON to Excel Web App](https://s.wtsolutions.cn/json-to-excel.html). > - If the JSON is an array of objects, each object will be treated as a row in the CSV. > - If the JSON is a single object, it will be converted into a CSV with key-value pairs. > - The CSV will include headers based on the keys in the JSON objects. > - This tool returns CSV-formatted data that can be easily converted/imported to Excel. #### Example Prompt 1: Convert the following JSON data into CSV format: ```json [ {"Name": "John Doe", "Age": 25, "IsStudent": false}, {"Name": "Jane Smith", "Age": 30, "IsStudent": true} ] ``` #### Example Prompt 2: Convert the following JSON object into CSV format: ```json { "Name": "John Doe", "Age": 25, "IsStudent": false, "Courses": ["Math", "Science"] } ``` ### json_to_excel_mcp_from_url Converts JSON data from a provided URL into Excel data. #### Parameters | Parameter | Type | Required | Description | |-----------|--------|----------|--------------------------------------------------| | url | string | Yes | URL pointing to a JSON file (.json) | > Note: > - The url should be publicly accessible. > - The JSON file should be in .json format. > - The JSON file should contain a valid JSON array or object. JSON schema available at [JSON Schema](https://json-to-excel.wtsolutions.cn/en/latest/profeatures.html#acceptable-json-format) and validator available at [JSON to Excel Web App](https://s.wtsolutions.cn/json-to-excel.html). > - If the JSON is an array of objects, each object will be treated as a row in the CSV. > - If the JSON is a single object, it will be converted into a CSV with key-value pairs. > - This tool returns CSV-formatted data that can be easily converted/imported to Excel. ### Example Prompt 1 Convert JSON file to Excel, file URL: https://mcp.wtsolutions.cn/example.json ### Example Prompt 2 (applicable only when you do not have a URL and working with online AI LLM) I've just uploaded one .json file to you, please extract its URL and send it to MCP tool 'json_to_excel_mcp_from_url', for JSON to Excel conversion. ## Response Format The MCP tools return a JSON object with the following structure: | Field | Type | Description | |----------|---------|-------------------------------------------------------------------------------------------------------------------------------------------| | isError | boolean | Indicates if there was an error processing the request | | msg | string | 'success' or error description | | data | string | Converted CSV data string, '' if there was an error. This CSV data can be easily imported into Excel. | ### Example Success Response ```json { "content": [{ "type": "text", "text": "{\"isError\":false,\"msg\":\"success\",\"data\":\"Name,Age,IsStudent\nJohn Doe,25,false\nJane Smith,30,true\"}" }] } ``` Above is the response from MCP tool, and in most cases your LLM should interpret the response and present you with a JSON object, for example as below. > Note, different LLM models may have different ways to interpret the JSON object, so please check if the JSON object is correctly interpreted by your LLM model. ```json { "isError": false, "msg": "success", "data": "Name,Age,IsStudent\nJohn Doe,25,false\nJane Smith,30,true" } ``` ### Example Failed Response ```json { "content": [{ "type": "text", "text": "{\"isError\": true, \"msg\": \"Invalid JSON format\", \"data\": \"\"}" }] } ``` Above is the response from MCP tool, and in most cases your LLM should interpret the response and present you with a JSON object, for example as below. > Note, different LLM models may have different ways to interpret the JSON object, so please check if the response is correctly interpreted by your LLM model. ```json { "isError": true, "msg": "Invalid JSON format", "data": "" } ``` or it is also possible that your LLM would say "Invalid JSON format, please provide a valid JSON string" to you. ## Data Type Handling The API automatically handles different data types in JSON: - **Numbers**: Converted to numeric values in CSV - **Booleans**: Converted to 'true'/'false' strings - **Strings**: Escaped and quoted if necessary - **Arrays**: Converted to JSON.stringify array string - **Objects**: Converted to JSON.stringify object string ## Error Handling The MCP returns descriptive error messages for common issues: - `Invalid JSON format`: When input data is not a valid JSON string - `Empty JSON data`: When input data is an empty JSON string - `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 - `Server Internal Error`: When an unexpected error occurs ## Service Agreement and Privacy Policy By using JSON to Excel MCP, you agree to the [service agreement](TERMS.md), and [privacy policy](PRIVACY.md). ## Pricing Free for now. ## Donation [https://buymeacoffee.com/wtsolutions](https://buymeacoffee.com/wtsolutions)

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