A
licenseNot graded
qualityD
maintenanceEnables text-only LLMs to analyze images by routing them to an OpenAI-compatible vision backend, supporting local files, URLs, and data URLs.
11 npm
MIT
Image-Vision MCP Server
by liunan-githu
Allows describing images using OpenAI's vision API, extracting textual descriptions from images.
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., "@Image-Vision MCP Serverdescribe the image located at /path/to/image.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.
Image-Vision MCP Server
让纯文本语言模型通过调用多模态 API 来"看懂"图片。
安装
pip install -r requirements.txtRelated MCP server: Vision MCP
配置
复制 .env.example 为 .env，填入 API Key：
IMAGE_OPENAI_API_KEY=sk-xxx
IMAGE_ANTHROPIC_API_KEY=sk-ant-xxx
IMAGE_PROVIDER=openai在 Claude Code 中使用
在项目根目录创建 .mcp.json：
{
"mcpServers": {
"image-vision": {
"command": "python",
"args": ["path/to/image-vision-mcp/server.py"],
"env": {
"IMAGE_OPENAI_API_KEY": "sk-xxx",
"IMAGE_PROVIDER": "openai"
}
}
}
}在 MiMo Code 中使用
在 MCP 设置面板中添加：
命令:
python参数:
你的路径/image-vision-mcp/server.py环境变量: 填入 API Key
使用
agent 会自动发现 describe_image 工具。用户发图后，agent 会调用它获取文字描述再回复。
也可以手动调用：
describe_image(image="path/to/photo.png", provider="openai")
describe_image(image="https://example.com/img.jpg", provider="anthropic")测试
# 测试 OpenAI
set IMAGE_OPENAI_API_KEY=sk-xxx && python test_image.py openai
# 测试 Anthropic
set IMAGE_ANTHROPIC_API_KEY=sk-ant-xxx && python test_image.py anthropicThis server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
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