glm-vision-mcp
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., "@glm-vision-mcpAnalyze the chart at https://example.com/sales.png and explain the trends"
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.
GLM Vision MCP Server
基于 智谱 GLM-4.6V-Flash 模型的图像识别 MCP 工具。
安装
方式一:PyPI 安装
pip install glm-vision-mcp方式二:本地安装
git clone <repo-url>
cd glm-vision-mcp
pip install -e .Related MCP server: GLM Vision Server
前置条件
注册 智谱开放平台 账号
获取 API Key
配置
在 MCP Client 配置文件中添加(如 claude_desktop_config.json 或 .mcp.json):
{
"mcpServers": {
"glm-vision": {
"command": "uv",
"args": ["run", "--directory", "<项目路径>", "glm-vision-mcp"],
"env": {
"ZHIPU_API_KEY": "your-api-key-here"
}
}
}
}或 PyPI 安装后:
{
"mcpServers": {
"glm-vision": {
"command": "python",
"args": ["-m", "glm_vision_mcp.server"],
"env": {
"ZHIPU_API_KEY": "your-api-key-here"
}
}
}
}使用
analyze_image
分析图片内容,支持 URL 和本地文件路径。
参数:
参数 | 类型 | 必填 | 说明 |
| string | 是 | 图片 URL(https://...)或本地文件路径 |
| string | 否 | 自定义分析指令,默认"请详细描述这张图片" |
示例:
描述图片:
{"image": "https://example.com/photo.jpg"}OCR 提取:
{"image": "C:\\screenshots\\receipt.png", "prompt": "提取图中的所有文字"}图表分析:
{"image": "/data/chart.png", "prompt": "分析这个图表的趋势和关键数据"}
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Maintenance
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