Vison-MCP

Vison-MCP

MCP server for vision AI — screenshots to code, OCR, error diagnosis, and image analysis via OpenAI-compatible APIs.

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Vison-MCP

MCP server for vision AI — screenshots to code, OCR, error diagnosis, and image analysis via OpenAI-compatible APIs.

Supported Tools

Tool Description
image_analysis General visual understanding — describe any image in detail
extract_text_from_screenshot OCR optimized for terminals, code, documents, and general content
ui_to_artifact Convert UI screenshots into code, prompts, specs, or descriptions
diagnose_error_screenshot Analyze error screenshots and propose actionable fixes
understand_technical_diagram Interpret architecture diagrams, flowcharts, UML, ER, and system diagrams
analyze_data_visualization Read charts and dashboards to surface insights, trends, and anomalies
ui_diff_check Compare two UI screenshots to flag visual differences and implementation drift
video_analysis Inspect videos (MP4/MOV/M4V) — scene detection, event analysis, content summarization

Installation

git clone https://github.com/Lin-zhibo/Vison-MCP.git
cd Vison-MCP
npm install
npm run build

Configuration

Set the following environment variables:

Variable Required Default Description
VISIONAI_API_KEY Yes API authentication key
VISIONAI_BASE_URL Yes OpenAI-compatible API endpoint
VISIONAI_MODEL_NAME No gpt-4o Vision model to use

Usage

With Claude Code

Add to your .claude/settings.json or claude_desktop_config.json:

{
  "mcpServers": {
    "vison-mcp": {
      "command": "node",
      "args": ["/path/to/Vison-MCP/dist/index.js"],
      "env": {
        "VISIONAI_API_KEY": "your-api-key",
        "VISIONAI_BASE_URL": "https://api.openai.com/v1",
        "VISIONAI_MODEL_NAME": "gpt-4o"
      }
    }
  }
}

Local Development

# Copy environment template
cp .env.example .env
# Edit .env with your API credentials

# Build and run
npm run build
npm start

Requirements

  • Node.js >= 18.0.0
  • An OpenAI-compatible vision API endpoint (GPT-4o, Claude Vision, or compatible)

License

MIT

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