Image Process
FreeNot checkedAn MCP Server for image processing that uses the Sharp library to provide image manipulation functionality. 这是一个用于处理图片的MCP Server,使用 sharp 库提供图片处理功能。
About
An MCP Server for image processing that uses the Sharp library to provide image manipulation functionality. 这是一个用于处理图片的MCP Server,使用 sharp 库提供图片处理功能。
README
An MCP Server for image processing that uses the Sharp library to provide image manipulation functionality.
这是一个用于处理图片的MCP Server,使用 sharp 库提供图片处理功能。
Features / 功能
The server provides the following image processing tools:
- Resize Image (
resizeImage): Adjust the width and height of an image - Convert Format (
convertFormat): Convert images to different formats (jpeg, png, webp, avif, tiff, gif) - Crop Image (
cropImage): Crop a specific region of an image - Rotate Image (
rotateImage): Rotate an image - Get Image Info (
getImageInfo): Get basic information about an image (dimensions, format, etc.)
提供以下图片处理工具:
- 调整图片尺寸 (
resizeImage):调整图片的宽度和高度 - 转换图片格式 (
convertFormat):将图片转换为不同的格式(jpeg、png、webp、avif、tiff、gif) - 裁剪图片 (
cropImage):裁剪图片的指定区域 - 旋转图片 (
rotateImage):旋转图片 - 获取图片信息 (
getImageInfo):获取图片的基本信息(尺寸、格式等)
Usage / 使用
MacOS / Linux
{
"mcpServers": {
"Image Process MCP": {
"command": "npx",
"args": ["-y", "image-process-mcp-server"]
}
}
}
Windows
{
"mcpServers": {
"Image Process MCP": {
"command": "cmd",
"args": ["/c", "npx", "-y", "image-process-mcp-server"]
}
}
}
Tool Parameters / 工具参数
Resize Image (resizeImage) / 调整图片尺寸
{
"input_path": "Path to the input image",
"output_path": "Path to the output image",
"width": Width in pixels (optional),
"height": Height in pixels (optional),
"fit": "Resizing method, options: cover, contain, fill, inside, outside, default is cover"
}
{
"input_path": "输入图片的路径",
"output_path": "输出图片的路径",
"width": 宽度(像素),可选,
"height": 高度(像素),可选,
"fit": "调整尺寸的方式,可选值:cover, contain, fill, inside, outside,默认为cover"
}
Convert Format (convertFormat) / 转换图片格式
{
"input_path": "Path to the input image",
"output_path": "Path to the output image",
"format": "Target format, options: jpeg, png, webp, avif, tiff, gif",
"quality": Image quality (1-100), only for formats supporting compression, default is 80
}
{
"input_path": "输入图片的路径",
"output_path": "输出图片的路径",
"format": "目标格式,可选值:jpeg, png, webp, avif, tiff, gif",
"quality": 图片质量(1-100),仅用于支持压缩的格式,默认为80
}
Crop Image (cropImage) / 裁剪图片
{
"input_path": "Path to the input image",
"output_path": "Path to the output image",
"left": Left edge offset (pixels),
"top": Top edge offset (pixels),
"width": Crop width (pixels),
"height": Crop height (pixels)
}
{
"input_path": "输入图片的路径",
"output_path": "输出图片的路径",
"left": 左边缘的偏移量(像素),
"top": 顶部边缘的偏移量(像素),
"width": 裁剪宽度(像素),
"height": 裁剪高度(像素)
}
Rotate Image (rotateImage) / 旋转图片
{
"input_path": "Path to the input image",
"output_path": "Path to the output image",
"angle": Rotation angle in degrees
}
{
"input_path": "输入图片的路径",
"output_path": "输出图片的路径",
"angle": 旋转角度(度)
}
Get Image Info (getImageInfo) / 获取图片信息
{
"input_path": "Path to the image"
}
{
"input_path": "图片的路径"
}
Examples / 示例
In Claude, you can call the tools using the following format:
Please help me resize an image to 500 pixels wide
Input path: /path/to/input.jpg
Output path: /path/to/output.jpg
在 Claude 中,可以使用以下方式调用工具:
请帮我将图片调整为宽度500像素的大小
输入路径:/path/to/input.jpg
输出路径:/path/to/output.jpg
Dependencies / 依赖
- Node.js
- sharp
- @modelcontextprotocol/sdk
License / 许可证
MIT
Installing Image Process
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/x007xyz/image-process-mcp-serverFAQ
Is Image Process MCP free?
Yes, Image Process MCP is free — one-click install via Unyly at no cost.
Does Image Process need an API key?
No, Image Process runs without API keys or environment variables.
Is Image Process hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Image Process in Claude Desktop, Claude Code or Cursor?
Open Image Process on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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