# Image Analysis (GPT-4 Vision)

> Use this tool when you need to extract information, generate descriptions, or answer questions about visual content. It analyzes images using GPT-4's vision capabilities, providing a standardized interface for image analysis tasks through the MCP protocol. Ideal for applications that require understanding and interpreting visual data, such as image classification, object detection, or content moderation.

Canonical page: https://skillsregistry.net/skills/champierre-image-analysis  
JSON: https://api.skillsregistry.net/v1/skills/champierre-image-analysis

## Description

Server implementation that enables AI assistants to analyze images using GPT-4-turbo's vision capabilities. Built with TypeScript and the OpenAI API, it provides a standardized interface for image analysis tasks through the MCP protocol, making it valuable for applications that need to extract information, generate descriptions, or answer questions about visual content.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/champierre-image-analysis)
- **Repository:** <https://github.com/champierre/image-mcp-server>

## 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": "champierre-image-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/champierre-image-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/champierre-image-analysis/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