Math & Numbers
Calculate mean absolute deviation around the mean or median for an easy-to-read spread measure
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/mean-absolute-deviation-calculator' \
-H 'Content-Type: application/json' \
-d '{"dataset":"2, 4, 4, 4, 5, 5, 7, 9","center":"mean","decimalPlaces":4,"includeAbsoluteDeviations":true}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/mean-absolute-deviation-calculator| Name | Type | Required | Description |
|---|---|---|---|
| dataset | textarea | Yes | — |
| center | select | No | — |
| decimalPlaces | number | No | — |
| includeAbsoluteDeviations | checkbox | No | — |
JSON result
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}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-mean-absolute-deviation-calculator": {
"name": "mean-absolute-deviation-calculator",
"description": "Calculate mean absolute deviation around the mean or median for an easy-to-read spread measure",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=mean-absolute-deviation-calculator",
"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": "mean-absolute-deviation-calculator",
"arguments": {
"dataset": "2, 4, 4, 4, 5, 5, 7, 9",
"center": "mean",
"decimalPlaces": 4,
"includeAbsoluteDeviations": true
}
}
}Questions or issues? Contact [email protected]