MCP Servers

glm-vision-mcp

Enables image analysis using the GLM-4.6V-Flash model, supporting image URLs and local file paths with custom prompts for tasks like OCR and chart analysis.

README

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 .

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
`image`	string	是	图片 URL（https://...）或本地文件路径
`prompt`	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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