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Image Process MCP Server

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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。

Overview

What is Image Process MCP Server?

An MCP Server for image processing that uses the Sharp library to provide image manipulation functionality. It is designed for use with MCP-compatible clients (e.g., Claude) to perform common image operations.

How to use Image Process MCP Server?

Install and configure by adding the server definition to your MCP client’s settings. On macOS/Linux use npx -y image-process-mcp-server; on Windows use cmd /c npx -y image-process-mcp-server. Then call the provided tools (e.g., resizeImage, convertFormat) with the required parameters.

Key features of Image Process MCP Server

  • Resize images with configurable width, height, and fit method.
  • Convert images between JPEG, PNG, WebP, AVIF, TIFF, GIF.
  • Crop a specific region of an image.
  • Rotate images by any angle.
  • Retrieve image metadata (dimensions, format, etc.).

Use cases of Image Process MCP Server

  • Batch resize product images to a uniform width.
  • Convert photographs to WebP for web optimization.
  • Crop a face from a group photo.
  • Rotate a scanned document to correct orientation.
  • Inspect image dimensions before further processing.

FAQ from Image Process MCP Server

What runtime dependencies does Image Process MCP Server require?

Node.js, the Sharp library, and the @modelcontextprotocol/sdk package.

What image formats are supported for conversion?

JPEG, PNG, WebP, AVIF, TIFF, and GIF.

What is the default quality value for compressed output formats?

The default quality is 80 (range 1–100), applicable to formats that support compression.

How do I specify the output path for a processed image?

All tools require an output_path parameter that points to the desired destination file on the local filesystem.

Does Image Process MCP Server support authentication or network transport?

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