Design
将Base64编码的图片数据转换回图片文件，支持多种格式
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/base64-to-image' \
-H 'Content-Type: application/json' \
-d '{"base64Data":"Paste your Base64 encoded image data here (with or without data URI prefix)...","outputFormat":"auto","autoDetectFormat":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/base64-to-image| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| base64Data | text | 是 | — |
| outputFormat | select | 是 | — |
| autoDetectFormat | checkbox | 否 | — |
文件结果
{
"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)"
}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-base64-to-image": {
"name": "base64-to-image",
"description": "将Base64编码的图片数据转换回图片文件，支持多种格式",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=base64-to-image",
"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": "base64-to-image",
"arguments": {
"base64Data": "Paste your Base64 encoded image data here (with or without data URI prefix)...",
"outputFormat": "auto",
"autoDetectFormat": true
}
}
}有问题或反馈？请联系 [email protected]