zhipu-vision-mcp
Provides vision capabilities to text-only models (like DeepSeek) via Zhipu free vision models, enabling image analysis, OCR, and image comparison through natural language.
README
智谱视觉 MCP Server
🌐 为 DeepSeek 等纯文本模型提供视觉能力 —— 通过智谱免费视觉模型"看懂"图片。
原理
用户发图 → MCP 调用 GLM 视觉模型(免费)
→ 返回文字描述
→ DeepSeek / 任意文本模型基于描述推理
快速开始
1. 获取 API Key
访问 智谱开放平台,登录后创建 API Key。
2. 安装
方式 A:npx 一键(推荐)
claude mcp add -s user zhipu-vision \
--env ZHIPU_API_KEY=你的密钥 \
-- npx github:apsuadwf/zhipu-vision-mcp
方式 B:本地安装
git clone https://github.com/apsuadwf/zhipu-vision-mcp.git
cd zhipu-vision-mcp
npm install
npm link
claude mcp add -s user zhipu-vision --env ZHIPU_API_KEY=你的密钥 -- zhipu-vision-mcp
4. 使用
直接在对话中提及图片,Claude 会自动调用视觉工具分析。也可以手动指定:
"帮我看看这张截图里的报错信息"
"分析这个 UI 设计有什么问题"
"提取这张表格图片里的数据"
可用工具
| 工具 | 功能 |
|---|---|
analyze_image |
分析图片,返回详细文字描述 |
extract_text_from_image |
OCR 提取图片中的文字 |
compare_images |
对比两张图片的差异 |
可用模型
| 模型 | 特点 |
|---|---|
glm-4.6v-flash ⭐ |
最新免费模型,支持本地文件(Base64)和多图 |
glm-4.1v-thinking-flash |
带深度思考,分析更深入 |
glm-4v-flash |
首个免费模型,仅支持 URL 单图 |
高峰期可能遇到 429 限流,换另一个模型即可。
环境要求
- Node.js >= 18
- npm >= 9
项目结构
zhipu-vision-mcp/
├── index.mjs # MCP Server(单文件)
├── package.json # 依赖配置
└── README.md # 本文件
License
MIT
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