vision-mcp

vision-mcp

基于阿里云百炼DashScope（Qwen-VL）的视觉MCP Server，通过MCP协议为Claude Code、Trae等客户端提供图片理解（通用图片分析和UI截图分析）能力。

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vision-mcp

基于 阿里云百炼 DashScope（Qwen-VL） 的视觉 MCP Server。通过 MCP 协议为 Claude Code、Trae、CodeBuddy 等客户端提供图片理解能力。

功能

  • analyze_image — 通用图片分析（支持本地文件路径 / 公网 URL / data URL）
  • screenshot_analyze — UI / 界面截图分析

支持的模型

模型 说明
qwen-vl-max 效果最佳，适合复杂图片理解
qwen-vl-plus 效果与速度均衡（默认）
qwen2.5-vl-72b-instruct 72B 指令跟随
qwen2.5-vl-7b-instruct 7B 轻量快速

快速开始

1. 安装依赖

python -m venv .venv
# Windows
.venv\Scripts\pip install -r requirements.txt
# Linux / macOS
.venv/bin/pip install -r requirements.txt

2. 配置 API Key

在项目根目录创建 .env 文件（MCP Server 启动时自动读取）：

DASHSCOPE_API_KEY=sk-你的密钥

申请地址：阿里云百炼控制台

3. 启动

# Windows
.venv\Scripts\python vision_mcp_server.py
# Linux / macOS
.venv/bin/python vision_mcp_server.py

列出支持的模型：

python vision_mcp_server.py --list

接入 MCP 客户端

在客户端的 MCP 配置（如 mcp.json 或 .mcp.json）中添加：

{
  "mcpServers": {
    "vision": {
      "command": "/path/to/vision-mcp/.venv/bin/python",
      "args": ["/path/to/vision-mcp/vision_mcp_server.py"],
      "env": {}
    }
  }
}

测试

# 协议冒烟测试（无需 API Key）
.venv/bin/python smoke_test.py

# 真实调用测试（需配置 API Key，使用本地测试图）
.venv/bin/python live_test.py

注意

  • DashScope 服务端下载海外公网图片 URL 可能超时，建议使用本地文件路径或国内可达的 URL
  • API Key 通过 .env 文件提供，不会写入配置文件

License

MIT

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