Design

Image Gaussian Blur

Apply Gaussian blur kernel for smooth noise reduction and image softening with precise control

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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-gaussian' \
  -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-gaussian' \
  -F 'imageFile=/path/to/file.ext' \
  -F 'sigma=2' \
  -F 'kernelSize=5' \
  -F 'iterations=1' \
  -F 'outputMode=normal'

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-gaussian

Parameters

Name	Type	Required	Description
imageFile	fileupload required	Yes	Image to apply Gaussian blur
sigma	number	No	Standard deviation for Gaussian distribution. Higher = more blur
kernelSize	select	No	Theoretical kernel size for Gaussian calculation. Sharp uses optimized algorithms internally.
iterations	number	No	Number of times to apply Gaussian blur. More iterations = stronger effect
outputMode

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-gaussian": {
      "name": "image-gaussian",
      "description": "Apply Gaussian blur kernel for smooth noise reduction and image softening with precise control",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-gaussian",
      "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-gaussian",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "sigma": 2,
  "kernelSize": "5",
  "iterations": 1,
  "outputMode": "normal"
}
  }
}

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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