A
license-
qualityD
maintenanceAn MCP server for analyzing images using OpenRouter vision models, offering capabilities like automatic image resizing, model configuration, and handling custom queries about images.
10
MIT
Vision-Multi MCP Server
by snow930
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-Multi MCP ServerWhat's in this image? https://example.com/cat.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.
Vision-Multi MCP Server
多模型 / 多 API 供应商的视觉识图 MCP 服务器。一个 analyze_image 工具，可手动切换不同模型与 API 后端，并内置故障自动切换：主后端失败（401/403/429）时自动回退到可用后端，且把切换结果持久化，重启后依然生效。
协议：MCP（Model Context Protocol），stdio transport
语言：Node.js（>= 18）
适用客户端：Reasonix、Claude Code 等支持 MCP 的客户端
功能特性
多后端识图：
analyze_image一次注册，可切换多个模型/API 供应商（provider参数）故障自动切换：未手动指定
provider时，主后端连续失败达阈值（默认 1 次）自动切换到回退成功的后端状态持久化：切换结果写入状态文件（默认
<REASONIX_HOME>/mcp-state/vision-multi-state.json），重启后依然生效手动覆盖：
provider/model参数随时手动指定，不受自动切换影响只读声明：两个工具均声明
annotations.readOnlyHint: true，可在 Plan 模式与严格只读子代理中使用密钥安全：所有后端密钥仅经环境变量注入，代码与配置示例中不含真实密钥
Related MCP server: simple-vision-mcp
工具
analyze_image —— 分析图片
参数 | 类型 | 必填 | 说明 |
| string | 是 | 本地图片路径或 http(s) 图片 URL |
| string | 否 | 问题（默认：请详细描述这张图片的内容） |
| string | 否 | 后端 id（用 |
| string | 否 | 模型名，覆盖该后端的默认模型 |
list_providers —— 查看当前可用后端
返回各后端的 id / 名称 / 模型 / 接口地址（不含密钥），切换前先查询。
安装
git clone https://github.com/snow930/reasonix-vision-multi.git
cd reasonix-vision-multi
npm install配置
后端来源有两种，可共存：
默认后端 dashscope：环境变量
DASHSCOPE_API_KEY/DASHSCOPE_BASE_URL/VISION_MODEL附加后端：环境变量
VISION_PROVIDERS（JSON 数组，可配任意多个 OpenAI 兼容端点）
环境变量
变量 | 必填 | 说明 |
| 是（至少一个后端） | 默认后端 API key |
| 否 | 默认后端接口地址（默认 |
| 否 | 默认后端模型（默认 |
| 否 | 默认后端 id（不传时按 |
| 否 | 附加后端 JSON 数组（见下） |
| 否 | 连续失败多少次后自动切换默认后端（默认 |
| 否 | 状态文件路径（默认 |
VISION_PROVIDERS 示例（密钥请用你自己的）
[
{
"id": "modelscope",
"name": "ModelScope 通义千问VL",
"baseUrl": "https://api-inference.modelscope.cn/v1",
"apiKey": "sk-xxx",
"model": "Qwen/Qwen3-VL-8B-Instruct"
},
{
"id": "siliconflow",
"name": "硅基流动",
"baseUrl": "https://api.siliconflow.cn/v1",
"apiKey": "sk-xxx",
"model": "Qwen/Qwen2.5-VL-72B-Instruct"
}
]客户端注册示例
Reasonix 全局配置 config.toml（[[plugins]]）：
[[plugins]]
name = "vision-multi"
command = "node"
args = ["/path/to/reasonix-vision-multi/index.js"]
env = {
DASHSCOPE_API_KEY = "sk-xxx",
VISION_MODEL = "qwen3.7-flash",
VISION_DEFAULT_PROVIDER = "dashscope",
VISION_PROVIDERS = "[{\"id\":\"modelscope\",\"name\":\"ModelScope\",\"baseUrl\":\"https://api-inference.modelscope.cn/v1\",\"apiKey\":\"sk-xxx\",\"model\":\"Qwen/Qwen3-VL-8B-Instruct\"}]"
}Claude Code 项目 .mcp.json：
{
"mcpServers": {
"vision-multi": {
"command": "node",
"args": ["/path/to/reasonix-vision-multi/index.js"],
"env": {
"DASHSCOPE_API_KEY": "sk-xxx"
}
}
}
}修改配置后需重启会话 / 重新注册 MCP server 生效。
自检
# 先设置测试图片路径与至少一个后端的 key
VISION_TEST_IMAGE=/path/to/test.png DASHSCOPE_API_KEY=sk-xxx npm test
# 或直接与 MCP 客户端连接后调用 list_providers / analyze_imagee2e-test.js 会依次验证 initialize / tools/list / list_providers / analyze_image（默认后端真实调用）。
许可证
MIT
Maintenance
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–Releases (12mo)
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