Data Processing
Split array into chunks of specified size using lodash _.chunk
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/chunk-array' \
-H 'Content-Type: application/json' \
-d '{"array":"[1, 2, 3, 4, 5] or [\"a\", \"b\", \"c\", \"d\", \"e\"]","size":2}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/chunk-array| Name | Type | Required | Description |
|---|---|---|---|
| array | textarea | Yes | Enter a valid JSON array to chunk |
| size | number | No | Number of elements per chunk (1-100) |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}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-chunk-array": {
"name": "chunk-array",
"description": "Split array into chunks of specified size using lodash _.chunk",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=chunk-array",
"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": "chunk-array",
"arguments": {
"array": "[1, 2, 3, 4, 5] or [\"a\", \"b\", \"c\", \"d\", \"e\"]",
"size": 2
}
}
}Questions or issues? Contact [email protected]