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图像压缩工具 MCP

图像工具MCP是一种模型上下文协议(MCP)服务,它通过TinyPNG API从URL和本地文件中检索图像尺寸并压缩图像。它支持将图像转换为webp、jpeg/jpg和png等格式,并提供关于宽度、高度、类型和压缩的详细信息。

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README

Image Tools MCP

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A Model Context Protocol (MCP) service for retrieving image dimensions and compressing images, supporting both URL and local file sources.

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Features

  • Retrieve image dimensions from URLs
  • Get image dimensions from local files
  • Compress images from URLs using TinyPNG API
  • Compress local images using TinyPNG API
  • Convert images to different formats (webp, jpeg/jpg, png)
  • Returns width, height, type, MIME type, and compression information

Example Results

Example Result 1 Example Result 2

Example Result 1 Example Result 2

download from figma url and compress Example Result 3

Usage

Using as an MCP Service

This service provides five tool functions:

  1. get_image_size - Get dimensions of remote images
  2. get_local_image_size - Get dimensions of local images
  3. compress_image_from_url - Compress remote images using TinyPNG API
  4. compress_local_image - Compress local images using TinyPNG API
  5. figma - Fetch image links from Figma API and compress them using TinyPNG API

Client Integration

To use this MCP service, you need to connect to it from an MCP client. Here are examples of how to integrate with different clients:

Usage

{
  "mcpServers": {
    "image-tools": {
      "command": "npx",
      "args": ["image-tools-mcp"],
      "env": {
        "TINIFY_API_KEY": "<YOUR_TINIFY_API_KEY>",
        "FIGMA_API_TOKEN": "<YOUR_FIGMA_API_TOKEN>"
      }
    }
  }
}

Using with MCP Client Library

import { McpClient } from "@modelcontextprotocol/client";

// Initialize the client
const client = new McpClient({
  transport: "stdio" // or other transport options
});

// Connect to the server
await client.connect();

// Get image dimensions from URL
const urlResult = await client.callTool("get_image_size", {
  options: {
    imageUrl: "https://example.com/image.jpg"
  }
});
console.log(JSON.parse(urlResult.content[0].text));
// Output: { width: 800, height: 600, type: "jpg", mime: "image/jpeg" }

// Get image dimensions from local file
const localResult = await client.callTool("get_local_image_size", {
  options: {
    imagePath: "D:/path/to/image.png"
  }
});
console.log(JSON.parse(localResult.content[0].text));
// Output: { width: 1024, height: 768, type: "png", mime: "image/png", path: "D:/path/to/image.png" }

// Compress image from URL
const compressUrlResult = await client.callTool("compress_image_from_url", {
  options: {
    imageUrl: "https://example.com/image.jpg",
    outputFormat: "webp" // Optional: convert to webp, jpeg/jpg, or png
  }
});
console.log(JSON.parse(compressUrlResult.content[0].text));
// Output: { originalSize: 102400, compressedSize: 51200, compressionRatio: "50.00%", tempFilePath: "/tmp/compressed_1615456789.webp", format: "webp" }

// Compress local image
const compressLocalResult = await client.callTool("compress_local_image", {
  options: {
    imagePath: "D:/path/to/image.png",
    outputPath: "D:/path/to/compressed.webp", // Optional
    outputFormat: "image/webp" // Optional: convert to image/webp, image/jpeg, or image/png
  }
});
console.log(JSON.parse(compressLocalResult.content[0].text));
// Output: { originalSize: 102400, compressedSize: 51200, compressionRatio: "50.00%", outputPath: "D:/path/to/compressed.webp", format: "webp" }

// Fetch image links from Figma API

const figmaResult = await client.callTool("figma", {
  options: {
    figmaUrl: "https://www.figma.com/file/XXXXXXX"
  }
});
console.log(JSON.parse(figmaResult.content[0].text));
// Output: { imageLinks: ["https://example.com/image1.jpg", "https://example.com/image2.jpg"] }

### Tool Schemas

#### get_image_size

```typescript
{
  options: {
    imageUrl: string // URL of the image to retrieve dimensions for
  }
}

get_local_image_size

{
  options: {
    imagePath: string; // Absolute path to the local image file
  }
}

compress_image_from_url

{
  options: {
    imageUrl: string // URL of the image to compress
    outputFormat?: "image/webp" | "image/jpeg" | "image/jpg" | "image/png" // Optional output format
  }
}

compress_local_image

{
  options: {
    imagePath: string // Absolute path to the local image file
    outputPath?: string // Optional absolute path for the compressed output image
    outputFormat?: "image/webp" | "image/jpeg" | "image/jpg" | "image/png" // Optional output format
  }
}

figma

{
  options: {
    figmaUrl: string; // URL of the Figma file to fetch image links from
  }
}

Changelog

  • 2025-05-12: Updated Figma API to support additional parameters, including 2x image scaling.

Technical Implementation

This project is built on the following libraries:

Environment Variables

  • TINIFY_API_KEY - Required for image compression functionality. Get your API key from TinyPNG
    • When not provided, the compression tools (compress_image_from_url and compress_local_image) will not be registered
  • FIGMA_API_TOKEN - Required for fetching image links from Figma API. Get your API token from Figma
    • When not provided, the Figma tool (figma) will not be registered

Note: The basic image dimension tools (get_image_size and get_local_image_size) are always available regardless of API keys.

License

MIT

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端