vision-for-reasonix
Provides integration with OpenAI's vision API to enable image description and compression for AI agents, supporting models like GPT-4o via an OpenAI-compatible endpoint.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@vision-for-reasonixdescribe the image at https://example.com/sunset.jpg"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
reasonix-vision-mcp
Vision Bridge MCP Server — 让纯文本模型通过 MCP 调用视觉模型来"看到"图片。
支持任意 OpenAI 兼容的视觉 API（SiliconFlow / GPT-4o / Qwen-VL 等），含图片压缩功能。
⚠️ 注意： 本项目基于 SiliconFlow 平台在 Reasonix 中测试通过，其余平台/客户端未做完整测试，可能存在兼容性问题。
工具
工具 | 说明 |
| 描述图片内容。支持本地图片路径或公网 URL |
| 压缩本地图片文件 |
| 版本信息（仅查看，不调用） |
describe_image 参数
参数 | 必填 | 说明 |
| ✅ | 图片路径：本地绝对路径或公网 URL |
| ❌ | 自定义描述指引，如"分析这个UI界面" |
| ❌ | 视觉精度，默认 auto。传什么就用什么，直接透传给 API |
compress_image 参数
参数 | 必填 | 默认值 | 说明 |
| ✅ | — | 图片绝对路径 |
| ❌ |
| 最大宽度（像素）。仅在不指定 maxSize 时生效 |
| ❌ | — | 目标大小，如 |
指定 maxSize 时，工具会二分逼近压缩到目标大小以内，绝不超出。
Related MCP server: qwen-vision-mcp
安装
方式一：npx（推荐）
{
"mcpServers": {
"reasonix-vision-mcp": {
"command": "npx",
"args": ["-y", "reasonix-vision-mcp"],
"env": {
"VISION_API_KEY": "sk-your-key",
"VISION_BASE_URL": "https://api.siliconflow.cn/v1",
"VISION_MODEL": "Qwen/Qwen3.5-35B-A3B",
"VISION_DETAIL": "auto"
}
}
}
}方式二：直接运行
node dist/src/index.js环境变量
变量 | 必填 | 默认值 | 说明 |
| ✅ | — | 视觉模型的 API Key |
| ❌ |
| OpenAI 兼容 API 地址 |
| ❌ |
| 视觉模型名称 |
| ❌ |
| 视觉精度，默认 auto。显式声明什么就传什么，不做校验 |
| ❌ |
| compress_image 输出目录 |
许可证
MIT
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