Design

Image Edge Detection Kernel

Apply edge detection convolution kernels to identify and highlight edges and contours in images

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Quick start

Call this tool from your code in three languages.

cURL

# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/image-edge-detect-kernel' \
  -F 'file=@/path/to/imageFile.ext'

# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/image-edge-detect-kernel' \
  -F 'imageFile=/path/to/file.ext' \
  -F 'kernelType=sobel' \
  -F 'intensity=1' \
  -F 'invert=false' \
  -F 'format=original' \
  -F 'quality=95'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP

POST https://api.elysiatools.com/en/api/tools/image-edge-detect-kernel

Parameters

Name	Type	Required	Description
imageFile	fileupload required	Yes	Image to apply edge detection kernel
kernelType	select	No	Type of edge detection kernel to apply
intensity	number	No	Strength of the edge detection effect (0.1-5.0)
invert	checkbox	No	Invert the edge detection result (black edges on white background)
format	select

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json

{
  "mcpServers": {
    "elysiatools-image-edge-detect-kernel": {
      "name": "image-edge-detect-kernel",
      "description": "Apply edge detection convolution kernels to identify and highlight edges and contours in images",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-edge-detect-kernel",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "image-edge-detect-kernel",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "kernelType": "sobel",
  "intensity": 1,
  "invert": false,
  "format": "original",
  "quality": 95
}
  }
}

Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

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