Math & Numbers
Plot a normal-distribution bell curve as SVG with z-score markers, interval or tail-probability shading, and 68/95/99.7 standard-deviation bands.
Call this tool from your code in three languages.
curl -X POST 'http://127.0.0.1:3003/en/api/tools/normal-distribution-plotter' \
-H 'Content-Type: application/json' \
-d '{"mu":0,"sigma":1,"mode":"interval","marker":"-1.96 1.96","showBands":true,"decimals":4}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST http://127.0.0.1:3003/en/api/tools/normal-distribution-plotter| Name | Type | Required | Description |
|---|---|---|---|
| mu | number | Yes | — |
| sigma | number | Yes | — |
| mode | select | Yes | — |
| marker | text | No | — |
| showBands | checkbox | No | — |
| decimals |
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-normal-distribution-plotter": {
"name": "normal-distribution-plotter",
"description": "Plot a normal-distribution bell curve as SVG with z-score markers, interval or tail-probability shading, and 68/95/99.7 standard-deviation bands.",
"baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=normal-distribution-plotter",
"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": "normal-distribution-plotter",
"arguments": {
"mu": 0,
"sigma": 1,
"mode": "interval",
"marker": "-1.96 1.96",
"showBands": true,
"decimals": 4
}
}
}Questions or issues? Contact [email protected]
| number |
| No |
| — |
HTML result
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}