AI Tools

AI Face Compare (1:1)

Compare two images, output embedding distance and match boolean by threshold, only compare the first face in each image

json· JSON 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/ai-face-compare' \
  -F 'file=@/path/to/imageA.ext'
curl -X POST 'https://api.elysiatools.com/upload/ai-face-compare' \
  -F 'file=@/path/to/imageB.ext'

# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/ai-face-compare' \
  -F 'imageA=/path/to/file.ext' \
  -F 'imageB=/path/to/file.ext' \
  -F 'threshold=0.6' \
  -F 'minConfidence=0.5'

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/ai-face-compare

Parameters

Name	Type	Required	Description
imageA	fileupload required	Yes	—
imageB	fileupload required	Yes	—
threshold	number	No	—
minConfidence	number	No	—

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

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-ai-face-compare": {
      "name": "ai-face-compare",
      "description": "Compare two images, output embedding distance and match boolean by threshold, only compare the first face in each image",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=ai-face-compare",
      "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": "ai-face-compare",
    "arguments": {
  "imageA": "https://example.com/file.ext",
  "imageB": "https://example.com/file.ext",
  "threshold": 0.6,
  "minConfidence": 0.5
}
  }
}

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]