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、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
Related MCP server: image-mcp
支持的模型
模型 | 说明 |
| 效果最佳,适合复杂图片理解 |
| 效果与速度均衡(默认) |
| 72B 指令跟随 |
| 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.txt2. 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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