Image Recognition

Provides AI-powered image analysis and descriptions via a URL-based MCP interface using OpenAI vision models.

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5 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "mcp-s-ai-image-recognition-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp-s/image-recognition-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY"
      }
    }
  }
}

You can leverage this MCP server to let AI assistants analyze and describe images using OpenAI’s vision models. It exposes a simple, interoperable interface so you can plug image understanding directly into your workflows and assistants.

How to use

You interact with the Image Recognition MCP Server by sending tool requests to describe images from URLs. Use the built‑in describe-image tool to obtain detailed descriptions of any image you provide through a URL. This makes it easy to add image understanding to assistants, chatbots, or automation pipelines.

How to install

Prerequisites you need before running the MCP server:

Node.js 18+
npm or yarn
OpenAI API key

Configure and run the MCP server using the provided command. The server runs through an MCP stub that you start with npx and an MCP package.

Start the MCP server using the following command. This launches the image recognition MCP endpoint locally via npm/yarn tooling.

npx -y @mcp-s/image-recognition-mcp

Available tools

describe-image

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