AI Vision MCP Server
by MCP-Mirror
The AI Vision MCP Server provides AI-powered visual analysis capabilities for Claude and other MCP-compatible AI assistants. It allows for screenshot capture, visual analysis, file operations, and report generation.
Last updated: N/A
What is AI Vision MCP Server?
This server is a Model Context Protocol (MCP) server that enables AI assistants to perform visual analysis tasks. It leverages AI vision to analyze screenshots, read and modify files, and generate reports, extending the capabilities of AI assistants like Claude.
How to use AI Vision MCP Server?
To use this server, you need to clone the repository, install dependencies using npm install, build the server with npm run build, and then start it using npm start. You also need to configure your MCP setup to include this server, providing the path to the node executable and the server's entry point. Finally, set the GEMINI_API_KEY environment variable.
Key features of AI Vision MCP Server
Screenshot URL capture
Visual analysis of UI elements
File reading and modification with line precision
Comprehensive UI/UX report generation
Debugging session with maintained context
Use cases of AI Vision MCP Server
Automated UI testing and analysis
Accessibility audits of web pages
Content extraction and summarization from screenshots
Automated code modification based on visual analysis
FAQ from AI Vision MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a framework for connecting AI models 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 are the system requirements?
What are the system requirements?
The server requires Node.js 14+ and Playwright for browser automation.
How do I contribute to this project?
How do I contribute to this project?
Contributions are welcome! Please submit pull requests with bug fixes or new features.