Media

Optimize GIF

Optimize GIF images with advanced compression techniques while maintaining visual quality

file· File resultOpen tool

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/gif-to-optimized-gif' \
  -F 'file=@/path/to/gifFile.ext'

# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/gif-to-optimized-gif' \
  -F 'gifFile=/path/to/file.ext' \
  -F 'optimizationLevel=medium' \
  -F 'colorReduction=auto' \
  -F 'customColors=0' \
  -F 'ditheringMethod=floyd-steinberg' \
  -F 'backgroundColor=transparent' \
  -F 'customBackgroundColor=#ffffff' \
  -F 'preserveTransparency=true' \
  -F 'adaptivePalette=true' \
  -F 'interlaced=false' \
  -F 'loopCount=0' \
  -F 'removeMetadata=true' \
  -F 'targetFileSize=0'

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/gif-to-optimized-gif

Parameters

Name	Type	Required	Description
gifFile	fileupload required	Yes	—
optimizationLevel	select	No	—
colorReduction	select	No	—
customColors	number	No	—
ditheringMethod	select	No	—
backgroundColor	select	No	—
customBackgroundColor	color	No	—
preserveTransparency	checkbox	No	—
adaptivePalette	checkbox	No	—
interlaced	checkbox	No	—
loopCount	number	No	—
removeMetadata	checkbox	No	—
targetFileSize	number	No	—

File-type parameters must be uploaded first via POST /upload/gif-to-optimized-gif, then the returned filePath is passed to the corresponding file field.

Response format

File result

JSON

{
  "filePath": "/public/processing/randomid.ext",
  "fileName": "output.ext",
  "contentType": "application/octet-stream",
  "size": 1024,
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}

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-gif-to-optimized-gif": {
      "name": "gif-to-optimized-gif",
      "description": "Optimize GIF images with advanced compression techniques while maintaining visual quality",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=gif-to-optimized-gif",
      "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": "gif-to-optimized-gif",
    "arguments": {
  "gifFile": "https://example.com/file.ext",
  "optimizationLevel": "medium",
  "colorReduction": "auto",
  "customColors": 0,
  "ditheringMethod": "floyd-steinberg",
  "backgroundColor": "transparent",
  "customBackgroundColor": "#ffffff",
  "preserveTransparency": true,
  "adaptivePalette": true,
  "interlaced": false,
  "loopCount": 0,
  "removeMetadata": true,
  "targetFileSize": 0
}
  }
}

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).

File parameters accept a public file URL only (https://…). Local paths, data: URIs, and Base64 strings are not supported.

Questions or issues? Contact [email protected]