A
licenseB
qualityC
maintenanceEnables image understanding using Doubao vision models via MCP, supporting local file paths and URLs with customizable prompts.
1
21
MIT
Vision MCP Server
by GuanJiu173
Provides image understanding capabilities using OpenAI's vision models (e.g., gpt-4o-mini) to analyze image content and return descriptions for software development contexts.
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., "@Vision MCP Serverdescribe the image at ./ui_mockup.png"
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.
Vision MCP Server
为什么需要它
许多 AI 模型（包括部分 Claude 版本）不能直接"看"图片。当你给它一张 UI 截图或设计稿时，它无法理解画面内容，也就无法帮你分析界面、提取文字、写代码复刻。
Vision MCP Server 填补了这个缺口——它充当 AI 的"眼睛"，让你在对话中直接丢图片给模型分析，同时提供缓存、模型回退、UI 对比等实用能力。
Related MCP server: llm-vision-mcp
它能做什么
场景 | 用法 |
给我描述这张截图的内容 |
|
这张设计稿用了什么配色和字体 |
|
实现截图和设计稿对比，找出差异 |
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额度用完了自动换模型接着跑 |
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同一张图昨天分析过，今天免费用 | 磁盘缓存，7 天 TTL |
典型工作流
"生成这个页面的 React 代码"
↓ Claude 写完
↓ Playwright 截图
↓ image_compare(设计稿, 截图)
↓ 返回差异 → Claude 修复第一次分析 5-15 秒，第二次相同图 0.01 秒（命中原缓存），不花二次钱。
快速开始
pip install -e .
python -m vision_mcp_serverClaude Code 在项目根目录配 .mcp.json 即可用，不需要额外配置（前提是已设置 API Key）。
工具
image_understand — 单图分析
image_understand(image_path, prompt=None, mode="quick", force_refresh=False)参数 | 说明 |
| 本地图片路径或 HTTP URL |
| 自定义提问，不传则自动选择提示词 |
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| 跳过缓存 |
image_compare — 双图对比
image_compare(expected_image, actual_image, mode="ui", force_refresh=False)返回结构化 JSON，包含差异类型、严重度、区域和预期/实际对比。
配置
环境变量
# 必选
DASHSCOPE_API_KEY=sk-xxx # 百炼 API Key（默认 Provider）
# Provider 切换
VISION_PROVIDER=bailian # bailian | openai | openrouter
VISION_API_KEY=sk-xxx # 覆盖 API Key
VISION_BASE_URL=https://... # 覆盖 API 端点
# 模型回退
VISION_MODELS=qwen-vl-max,qwen-vl-plus,qwen-3.7 # 按顺序尝试，遇到 quota/429 自动切换
# 缓存
VISION_CACHE_ENABLED=false # 禁用缓存
VISION_CACHE_TTL=604800 # TTL（秒），默认 7 天
VISION_CACHE_DIR=/path/to/cache # 自定义缓存目录Provider 默认值
Provider | 模型 | API 地址 |
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扩展
启动 HTTP 模式调试：
python -m vision_mcp_server --httpThis server cannot be installed
Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity
Resources
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If you are the server author, to access and configure the admin panel.
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- AlicenseBqualityBmaintenanceProvides vision capabilities to text-only LLMs by analyzing image files via Qwen-VL and returning textual descriptions, with support for OCR, UI analysis, diagram/chart understanding, and code extraction through MCP stdio.73792MIT
- AlicenseAqualityBmaintenanceEnables text-only language models to understand images by forwarding image and prompt requests to vision model backends via MCP, returning descriptive text. Supports multiple OpenAI-compatible providers with task routing and safety checks.1MIT
- Alicense-qualityBmaintenanceEnables image analysis via OpenAI-compatible vision APIs, supporting local files, URLs, and base64 inputs with intelligent tiling for high-resolution images. Provides a secure, configurable MCP stdio server for structured vision analysis.1,2641MIT
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