ai-vision
Provides image analysis capabilities through OpenAI-compatible vision models, including analyzing local images (path or base64), remote image URLs, multi-image comparison, and listing available models.
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., "@ai-visionAnalyze the image at https://example.com/cat.jpg and describe what you see."
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.
ai-vision
支持 OpenAI 兼容协议的视觉识别 MCP 服务器。让 Claude Desktop / Cline / Cherry Studio 等 MCP 客户端获得图片识别能力,可接入 OpenAI、通义千问、智谱、Moonshot 等任意 OpenAI 兼容服务商。
📖 完整使用说明(中文): docs/使用说明.html
快速开始
pnpm install
pnpm build
# 方式一:环境变量(也可直接在 MCP 客户端的 env 字段里注入)
OPENAI_API_KEY=sk-xxx node dist/index.js
# 方式二:配置文件(支持多服务商,参考 sample-config.json)
cp sample-config.json config.json
node dist/index.js --config=config.jsonRelated MCP server: vision-mcp
MCP 客户端配置(推荐:env 注入,无需配置文件)
{
"mcpServers": {
"vision": {
"command": "ai-vision",
"args": [],
"env": {
"OPENAI_API_KEY": "sk-你的密钥",
"OPENAI_BASE_URL": "https://api.openai.com/v1",
"OPENAI_MODEL": "gpt-4o"
}
}
}
}提供的 MCP 工具
工具 | 功能 |
| 分析本地图片(路径 / base64) |
| 分析远程图片 URL |
| 多图对比(最多 10 张) |
| 查询服务商可用模型 |
技术栈
@modelcontextprotocol/sdk — MCP 服务器框架(stdio / Streamable HTTP)
openai — OpenAI 兼容协议客户端
TypeScript + pnpm
测试
pnpm test # 本地 mock 服务器验证协议格式,无需真实 API KeyMaintenance
Resources
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