Media
从图像中提取全面的元数据，包括EXIF、IPTC、XMP和技术信息
用三种语言从你的代码中调用此工具。
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/image-metadata' \
-F 'file=@/path/to/imageFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/zh/api/tools/image-metadata' \
-F 'imageFile=/path/to/file.ext' \
-F 'includeExif=true' \
-F 'includeIptc=true' \
-F 'includeXmp=true' \
-F 'includeTechnical=true'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/image-metadata| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| imageFile | file需先上传 | 是 | — |
| includeExif | checkbox | 否 | Extract EXIF metadata (camera settings, GPS, etc.) |
| includeIptc | checkbox | 否 | Extract IPTC metadata (copyright, keywords, etc.) |
| includeXmp | checkbox | 否 | Extract XMP metadata (extended properties, etc.) |
| includeTechnical | checkbox | 否 |
将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-image-metadata": {
"name": "image-metadata",
"description": "从图像中提取全面的元数据，包括EXIF、IPTC、XMP和技术信息",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-metadata",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "image-metadata",
"arguments": {
"imageFile": "https://example.com/file.ext",
"includeExif": true,
"includeIptc": true,
"includeXmp": true,
"includeTechnical": true
}
}
}| Include technical image information and statistics |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}有问题或反馈？请联系 [email protected]