Data Processing
Flatten multidimensional arrays into one-dimensional arrays with customizable depth
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/array-flattener' \
-H 'Content-Type: application/json' \
-d '{"arrayInput":"Enter your multidimensional array...","inputFormat":"json","flattenDepth":1,"outputFormat":"json","removeNulls":false,"removeDuplicates":false,"sortBy":"none"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/array-flattener| Name | Type | Required | Description |
|---|---|---|---|
| arrayInput | textarea | Yes | — |
| inputFormat | select | Yes | — |
| flattenDepth | number | No | — |
| outputFormat | select | Yes | — |
| removeNulls | checkbox | No | — |
| removeDuplicates |
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-array-flattener": {
"name": "array-flattener",
"description": "Flatten multidimensional arrays into one-dimensional arrays with customizable depth",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=array-flattener",
"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": "array-flattener",
"arguments": {
"arrayInput": "Enter your multidimensional array...",
"inputFormat": "json",
"flattenDepth": 1,
"outputFormat": "json",
"removeNulls": false,
"removeDuplicates": false,
"sortBy": "none"
}
}
}Questions or issues? Contact [email protected]
| checkbox |
| No |
| — |
| sortBy | select | Yes | — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}