Image Recognition
Enables AI assistants to analyze and describe images from URLs using OpenAI's vision models through the Model Context Protocol.
What is Image Recognition?
Image Recognition is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai assistants to analyze and describe images from urls using openai's vision models through the model context protocol.
Enables AI assistants to analyze and describe images from URLs using OpenAI's vision models through the Model Context Protocol.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- describe-image
Use Cases
Maintainer
Works with
Installation
NPM
npx -y image-recognition-mcpManual Installation
npx -y image-recognition-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Image Recognition
What is Image Recognition?
Image Recognition is a Model Context Protocol (MCP) server that enables ai assistants to analyze and describe images from urls using openai's vision models through the model context protocol. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Image Recognition?
Install via npm with the command: npx -y image-recognition-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Image Recognition?
Image Recognition works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Image Recognition free to use?
Yes, Image Recognition is open source and available under the ISC License license. You can use it freely in both personal and commercial projects.
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Browse More Data Science & ML MCP Servers
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Set Up Image Recognition in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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