运行时需要哪些环境?
需要 Node.js 18 及以上版本、TypeScript 5 及以上版本,以及支持 `sharp` 原生模块的运行环境。
@HYPERVAPOR
Basic information
mcp server for image professing
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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基于 Model Context Protocol (MCP) 的高性能图像处理服务器,提供格式转换、尺寸调整、压缩优化、裁剪、旋转、翻转以及图像后处理(亮度、对比度、饱和度、模糊、锐化)等丰富的图像处理功能。适用于需要通过自然语言与本地图像文件交互的场景。
克隆仓库并运行 npm install,可选修改 src/index.ts 后执行 npm run build。在支持 MCP 的客户端(如 cline)的配置中添加 mcpServers 条目,指定 Node.js 路径和编译后的 dist/index.js,传输方式为 stdio。启用后,向 LLM 描述操作并提供图片的绝对路径即可自动处理。
需要 Node.js 18 及以上版本、TypeScript 5 及以上版本,以及支持 `sharp` 原生模块的运行环境。
支持 JPEG、PNG、WebP、TIFF、GIF、AVIF、HEIF 共七种格式的读取和写入。
用户需要向 LLM 提供图片的本地绝对路径(可提供多个路径),图像始终保存在本地,不会上传到外部服务。
所有工具接口的 `imagesPath` 参数均为数组,支持同时处理多张图片。
配置中指定 `transportType` 为 `stdio`,通过标准输入输出与 MCP 客户端通信。
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