AI Vision MCP Server
by samihalawa
The AI Vision MCP Server provides AI-powered visual analysis capabilities for Claude and other MCP-compatible AI assistants. It allows users to analyze UI elements, layouts, and content in screenshots.
Last updated: N/A
What is AI Vision MCP Server?
The AI Vision MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to perform visual analysis tasks, such as analyzing screenshots of websites and generating UI/UX reports.
How to use AI Vision MCP Server?
To use the server, first clone the repository, install the dependencies, and build the server. Then, configure your MCP setup to include the AI Vision server with the correct command and arguments. Finally, you can use the available tools like screenshot_url, analyze_screen, read_file, modify_file, and generate_report through your AI assistant by calling the functions with the appropriate parameters.
Key features of AI Vision MCP Server
Screenshot URL Capture
Visual Analysis of Screenshots
File Read/Modify Operations
UI/UX Report Generation
Contextual Debugging Sessions
Use cases of AI Vision MCP Server
Automated UI testing
Accessibility analysis
Content moderation
Website design feedback
Debugging web applications
FAQ from AI Vision MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a protocol for AI assistants to interact with external tools and services.
What AI models are compatible with this server?
What AI models are compatible with this server?
This server is designed to work with Claude and other MCP-compatible AI assistants.
Do I need a Gemini API key?
Do I need a Gemini API key?
Yes, a Gemini API key is required for the AI vision analysis functionality.
What Node.js version is required?
What Node.js version is required?
Node.js version 14 or higher is required.
Can I analyze local files?
Can I analyze local files?
Yes, the read_file and modify_file tools allow you to interact with local files.