jl-image-vison
MCP server for image understanding that analyzes UI designs, HTML pages, and visual layouts using Agnes 2.0 Flash, returning structured descriptions with layout hierarchy, components, text, interactions, and accessibility notes.
README
jl-image-vison
MCP server for image understanding — structured description of UI designs, HTML pages, and visual layouts, powered by Agnes 2.0 Flash.
Tool: describe_image
Analyse an image and return a richly structured breakdown — layout hierarchy, UI components, readable text, interactions, design notes, and accessibility observations. Optimised for UI mockups, Figma exports, HTML/CSS screenshots, dashboards, and app interfaces.
Input
| Parameter | Type | Required | Description |
|---|---|---|---|
image |
string | yes | The image to analyse. Accepts three formats: (1) a public URL — https://example.com/screenshot.png; (2) a local file path — ~/Desktop/mockup.png or C:\Users\you\shot.png; (3) a base64 data URL — data:image/png;base64,.... |
detail_level |
enum: standard | detailed | comprehensive |
no (default detailed) |
How thorough the description should be. |
focus |
string | no | Steering hint, e.g. "layout only", "extract all text", "focus on accessibility", "identify design system". |
Output
content[0].text— the full structured description (markdown).structuredContent— machine-readable fields:summary,description,model,tokens.
Setup
npm install
npm run build
Configuration
Environment variables (all optional except AGNES_API_KEY at runtime):
| Variable | Default | Description |
|---|---|---|
AGNES_API_KEY |
— | Your Agnes AI API key (required to call the tool). |
AGNES_BASE_URL |
https://apihub.agnes-ai.com/v1 |
Override the API base URL. |
AGNES_MODEL |
agnes-2.0-flash |
Override the model name. |
Get an API key from the Agnes AI developer console.
Connect to a host
Claude Code / Claude Desktop (stdio)
Add to your MCP config:
{
"mcpServers": {
"image-vison": {
"command": "node",
"args": ["D:/my/oss/jl_image-vison-mcp/dist/index.js"],
"env": {
"AGNES_API_KEY": "sk-your-key-here"
}
}
}
}
Any MCP client via npx
AGNES_API_KEY=sk-your-key npx tsx src/index.ts
Develop
npm run dev # run with tsx (no build step)
npm run typecheck # type-check only
npm run build # compile to dist/
npm run inspect # launch MCP Inspector for interactive testing
Limitations (v0.2)
- Single image — one image per call. Multi-image comparison is not yet supported.
- Agnes 2.0 Flash only — first release supports only this model.
- Local file size limit — 10 MB per image (Agnes payload limit).
- Claude Code pasted images — when you paste an image into Claude Code, it may pass a file path or a data URL; both are now supported. If you get a "Cannot read file" error, the path Claude Code passed doesn't exist on the server's filesystem — upload to a public URL instead.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。