A
licenseA
qualityD
maintenanceEnables image analysis and understanding using Vision Language Models through OpenAI-compatible APIs. Supports analyzing images from URLs or local files with custom prompts.
1
2
MIT
api-vision-mcp
by stzhiyang
Click on "Deploy 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., "@api-vision-mcpwhat's in this image?"
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.
API Vision MCP Server
视觉模型图像识别 MCP server，默认模型 mimo-v2.5，兼容 OpenAI 格式 API。
安装
1. 克隆仓库
git clone https://github.com/stzhiyang/api-vision-mcp.git ~/.claude/plugins/custom/api-vision-mcp
cd ~/.claude/plugins/custom/api-vision-mcp
npm install2. 注册到 Claude Code
编辑 ~/.claude.json，添加全局配置：
"mcpServers": {
"api-vision": {
"command": "node",
"args": ["~/.claude/plugins/custom/api-vision-mcp/index.js"],
"env": {
"VISION_API_KEY": "你的API密钥",
"VISION_API_BASE_URL": "https://api.example.com",
"VISION_API_MODEL": "mimo-v2.5"
}
}
}3. 重启 Claude Code
Related MCP server: image_mcp
环境变量
变量 | 必填 | 说明 | 默认值 |
| 是 | API 密钥 | - |
| 是 | API 地址 | - |
| 否 | 模型名称 |
|
使用
在对话中粘贴图片并提问，或显式调用：
请使用 analyze_image 工具识别图片内容说明：MCP 工具不会自动触发，需要用户显式请求或 Claude 判断需要图像识别时才会调用。
切换模型/平台
修改 env 中的三个变量即可：
平台 | VISION_API_BASE_URL | VISION_API_MODEL |
OpenAI |
|
|
DeepSeek |
|
|
通义千问 |
|
|
智谱 |
|
|
Ollama |
|
|
注意：不同平台的 API 路径可能不同。如果请求失败，检查
index.js中的/v1/chat/completions路径是否需要调整（如某些平台用/v1/messages）。
依赖
Node.js >= 18
@modelcontextprotocol/sdk
zod
This server cannot be deployed
Maintenance
ActivityStale
ResponsivenessNo issues
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