MCP Servers

mcp-vision-server

Enables image analysis, OCR, and text-to-image generation through OpenAI-compatible APIs. Supports local paths, URLs, or base64 images with configurable models and backup endpoints.

README

mcp-vision-server

基于 goehou/Visual-Enhancement-mcp（MIT）魔改的 MCP 服务，接入 OpenAI 兼容 API，提供看图、识字、生图。

工具

工具	做什么
`vision_analyze`	通用图片理解
`vision_ocr`	逐字提取图片文字
`image_generate`	文本生成图片（多张/尺寸/模型覆盖）

图片传法三选一：imagePath（本地路径）/ imageUrl / imageBase64 + imageMediaType。

配置

模型优先级：调用时传 model > 工具专用 > 全局默认。

环境变量	说明	默认值
`VISION_API_BASE_URL`	视觉 API 根地址	必填
`VISION_API_KEY`	视觉 Key	必填
`VISION_MODEL`	默认视觉模型	必填
`VISION_ANALYZE_MODEL`	analyze 专用模型	回退 `VISION_MODEL`
`VISION_BACKUP_API_BASE_URL`	ocr 备用视觉平台地址	回退 `VISION_API_BASE_URL`
`VISION_BACKUP_API_KEY`	ocr 备用视觉 Key	回退 `VISION_API_KEY`
`VISION_BACKUP_MODEL`	ocr 备用视觉模型	回退 `VISION_MODEL`
`IMAGE_API_BASE_URL`	生图 API 根地址	回退 `VISION_API_BASE_URL`
`IMAGE_API_KEY`	生图 Key	回退 `VISION_API_KEY`
`IMAGE_MODEL`	生图模型	回退 `VISION_MODEL`
`VISION_TIMEOUT_MS`	视觉超时（毫秒）	`60000`
`IMAGE_TIMEOUT_MS`	生图超时（毫秒）	`120000`

OpenCode 配置：

{
  "mcp": {
    "vision": {
      "type": "local",
      "command": ["mcp-vision-server"],
      "environment": {
        "VISION_API_BASE_URL": "...",
        "VISION_API_KEY": "...",
        "VISION_MODEL": "...",
        "IMAGE_API_BASE_URL": "...",
        "IMAGE_API_KEY": "...",
        "IMAGE_MODEL": "..."
      },
      "enabled": true
    }
  }
}

相比原项目

新增 image_generate 生图工具（多张/尺寸/模型覆盖，URL 下载加固）
新增 VISION_BACKUP_* 备用视觉端点
新增 VISION_ANALYZE_MODEL 工具级模型覆盖
加固：仅允许 http/https 下载、base64 大小上限、错误信息截断、多图全返回、空配置可启动

安装

# 方式一：本地克隆后安装
git clone https://github.com/xiaoshengyvlin/MCP-Vision.git
cd MCP-Vision
npm install -g .

# 方式二：tarball 安装
npm pack && npm install -g mcp-vision-server-0.1.4.tgz

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