# Image Recognition

> Use this tool when you need to analyze and understand the content of images, and generate detailed descriptions of visual data. It solves problems such as image classification, object detection, and scene description, taking an image URL as input and producing a text-based description of the image content as output. Ideal for applications requiring automated image analysis, such as content moderation, accessibility features, or data annotation.

Canonical page: https://skillsregistry.net/skills/mcp-s-image-recognition  
JSON: https://api.skillsregistry.net/v1/skills/mcp-s-image-recognition

## Description

Provides image recognition and description capabilities for images accessible via URL. Leverages OpenAI's vision models to generate detailed descriptions and analysis of image content.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mcp-s-image-recognition)
- **Repository:** <https://github.com/mcp-s-ai/image-recognition-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mcp-s-image-recognition"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-s-image-recognition` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-s-image-recognition/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt