jl-image-vison

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.

Category
Visit Server

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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured