Format Conversion
Convert Excel file to HTML table format, extracting data from the first worksheet
Call this tool from your code in three languages.
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/excel-to-html' \
-F 'file=@/path/to/excelFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/excel-to-html' \
-F 'excelFile=/path/to/file.ext' \
-F 'hasHeader=true' \
-F 'trimValues=true' \
-F 'tableStyle=modern' \
-F 'includeCSS=true' \
-F 'tableName=excel-data' \
-F 'emptyCellPlaceholder=Text to use for empty cells'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/excel-to-html| Name | Type | Required | Description |
|---|---|---|---|
| excelFile | fileupload required | Yes | — |
| hasHeader | checkbox | No | — |
| trimValues | checkbox | No | — |
| tableStyle | select | Yes | — |
| includeCSS | checkbox | No | — |
Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-excel-to-html": {
"name": "excel-to-html",
"description": "Convert Excel file to HTML table format, extracting data from the first worksheet",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=excel-to-html",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "excel-to-html",
"arguments": {
"excelFile": "https://example.com/file.ext",
"hasHeader": true,
"trimValues": true,
"tableStyle": "modern",
"includeCSS": true,
"tableName": "excel-data",
"emptyCellPlaceholder": "Text to use for empty cells"
}
}
}| tableName | text | No | — |
| emptyCellPlaceholder | text | No | — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}Questions or issues? Contact [email protected]