Image Recognition MCP

Name: Image Recognition MCP
Author: mcp-s-ai

by mcp-s-aiversion 1.0.0i★ –iRuns on your computer

Registry nameio.github.shalevshalit/image-recognition-mcp

Install

Overview

Description from the maker (original English)

MCP server for AI-powered image recognition and description using OpenAI vision models.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 50/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: OPENAI_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 0 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: OPENAI_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "image-recognition": {
      "command": "npx",
      "args": [
        "-y",
        "image-recognition-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add image-recognition --env OPENAI_API_KEY=your-value -- npx -y image-recognition-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "image-recognition": {
      "command": "npx",
      "args": [
        "-y",
        "image-recognition-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "image-recognition": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "image-recognition-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

OPENAI_API_KEY secret required env
Your OpenAI API key for image recognition and description services

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

! Caution
Maker matches the repo
The publisher (shalevshalit) is not the repo owner (mcp-s-ai); someone else may have listed it
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2805 servers in this category
Published to the registry more recently than 0% of the other 2805 servers in this category
Basic checks equal to or better than 13% of the other 2805 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Image Recognition MCP safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: OPENAI_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 14 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Figma MCP Server

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

by figmaWidely used★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Installation

Prerequisites

Node.js 18+
npm or yarn
OpenAI API key

MCP Client Configuration

To use this server with an MCP client, add the following configuration:

"mcpServers": { "image-recognition": { "command": "npx", "args": ["-y", "@mcp-s/image-recognition-mcp"], "env": { "OPENAI_API_KEY": "your-actual-openai-api-key-here" } } } }

⚠️ IMPORTANT: The env section with your OpenAI API key is required - this is the only way the MCP server can function.

Usage

Available Tools

`describe-image`

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

Parameters:

imageUrl (string): The URL of the image to analyze

Example:

"tool": "describe-image", "arguments": { "imageUrl": "https://example.com/image.jpg" } }

Response:

"content": [ { "type": "text", "text": "The image shows a beautiful sunset over a mountain landscape with vibrant orange and pink colors in the sky..." } ] }

Integration with AI Assistants

This MCP server can be integrated with various AI assistants that support the MCP protocol, such as:

Claude Desktop
Other MCP-compatible AI systems

Development

Project Structure

image-recognition-mcp/

├── src/ │ └── index.ts # Main server implementation ├── dist/ # Compiled JavaScript output ├── package.json # Project dependencies and scripts ├── tsconfig.json # TypeScript configuration └── README.md # This file

Error Handling

The server includes robust error handling for:

Invalid image URLs
Network connectivity issues
OpenAI API errors
Invalid input parameters

Troubleshooting

Common Issues

Server fails to start or doesn't work:

✅ Check if OpenAI API key is set: This is the #1 cause of issues

  echo $OPENAI_API_KEY  # Should show your API key

✅ Verify API key is valid: Test with OpenAI's API directly
✅ Check API key has sufficient credits: Ensure your OpenAI account has available credits

"Authentication failed" errors:

The OpenAI API key is missing or invalid
Set the environment variable: export OPENAI_API_KEY="your-key"

Contributing

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

License

This project is licensed under the ISC License. See the LICENSE file for details.

Support

For support, please open an issue in the GitHub repository or contact the maintainer.

Image Recognition MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

Image Recognition MCP Server

Overview

Features

Installation

Prerequisites

MCP Client Configuration

Usage

Available Tools

describe-image

Integration with AI Assistants

Development

Project Structure

Error Handling

Troubleshooting

Common Issues

Contributing

License

Support

`describe-image`