Media
一次性查看多张图片的EXIF元数据
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-exif-batch-view' \
-F 'file=@/path/to/imageFiles.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/zh/api/tools/image-exif-batch-view' \
-F 'imageFiles=/path/to/file.ext' \
-F 'includeCamera=true' \
-F 'includeGPS=true' \
-F 'includeDateTime=true' \
-F 'includeTechnical=true' \
-F 'includeOther=true' \
-F 'useOriginalNames=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-exif-batch-view| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| imageFiles | file需先上传 | 是 | 选择最多100个图片文件查看它们的EXIF元数据 |
| includeCamera | checkbox | 否 | 显示相机制造商、型号、镜头和拍摄设置 |
| includeGPS | checkbox | 否 | 显示GPS坐标和海拔 |
| includeDateTime | checkbox | 否 | 显示拍摄和修改日期 |
| includeTechnical | checkbox | 否 | 显示曝光、ISO、光圈和其他技术设置 |
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-exif-batch-view": {
"name": "image-exif-batch-view",
"description": "一次性查看多张图片的EXIF元数据",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-exif-batch-view",
"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-exif-batch-view",
"arguments": {
"imageFiles": "https://example.com/file.ext",
"includeCamera": true,
"includeGPS": true,
"includeDateTime": true,
"includeTechnical": true,
"includeOther": true,
"useOriginalNames": true
}
}
}| includeOther | checkbox | 否 | 显示版权、作者、软件和其他元数据 |
| useOriginalNames | checkbox | 否 | Display original filenames instead of server-side paths |
JSON 结果
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}有问题或反馈？请联系 [email protected]