AI Vision MCP Server
About
A Model Context Protocol server for AI vision analysis using Gemini Vision API
Explore
- Screenshot URL: Capture screenshots of any website by providing a URL
- Visual Analysis: Analyze UI elements, layouts, and content in screenshots
- File Operations: Read and modify files with line-specific precision
- Report Generation: Create comprehensive UI/UX analysis reports
- Debugging Session: Maintain context across multiple analysis steps
Clone the repository, install dependencies with npm install, build with npm run build, then start with npm start. Configure the server in your MCP config by specifying the node command, path to build/index.js, and setting the GEMINI_API_KEY environment variable. Use tools like screenshot_url, analyze_screen, read_file, modify_file, and generate_report to interact with the server.
A Model Context Protocol (MCP) server that provides AI-powered visual analysis capabilities for Claude and other MCP-compatible AI assistants.
Features
- Screenshot URL: Capture screenshots of any website by providing a URL
- Visual Analysis: Analyze UI elements, layouts, and content in screenshots
- File Operations: Read and modify files with line-specific precision
- Report Generation: Create comprehensive UI/UX analysis reports
- Debugging Session: Maintain context across multiple analysis steps
Installation
```bash
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