Image Recognition Mcp

mcp-s-ai/image-recognition-mcp

Wraps OpenAI's vision models in an MCP interface so you can analyze images by URL. You get one tool, describe-image, which takes an image URL and returns a text description of what's in it. Useful when you need to add image understanding to Claude or other MCP clients without building your own vision pipeline. Requires an OpenAI API key with credits. Built in TypeScript, runs via npx. The setup is straightforward: add it to your MCP config with your API key in the env block and you're ready to send image URLs for analysis.

GitHub stars: 5
tool: 1
auth: Secret needed
transport: STDIO
env var: 1
last updated: Sep 10, 2025

View on GitHub

Tools

1 tools

Public tool metadata for what this MCP can expose to an agent.

describe-imageAnalyzes an image from a URL and provides a detailed description.

Analyzes an image from a URL and provides a detailed description.

No parameter schema in public metadata yet.

Configuration

OPENAI_API_KEY*secret

Your OpenAI API key for image recognition and description services

Readme

Image Recognition MCP Server

A Model Context Protocol (MCP) server that provides AI-powered image recognition and description capabilities using OpenAI's vision models.

Overview

This MCP server enables AI assistants to analyze and describe images through a simple URL-based interface. It leverages OpenAI's powerful vision models to provide detailed descriptions of images, making it easy to integrate image analysis capabilities into your AI workflows.

Features

Image Analysis: Analyze images from URLs and get detailed descriptions
OpenAI Integration: Uses OpenAI's latest vision models for accurate image recognition
MCP Protocol: Fully compatible with the Model Context Protocol standard
TypeScript: Built with TypeScript for type safety and better development experience
Simple API: Easy-to-use interface for image description requests