# image-recognition-mcp

> image-recognition-mcp — carlleilzj-image-recognition-mcp. Use this tool when you need to analyze images locally on macOS without relying on network requests, providing capabilities such as OCR, image classification, and comprehensive image analysis. It solves problems related to image recognition, data extraction, and automation, accepting image files as input and outputting recognized text, classifications, or analysis results. Ideal for use cases requiring offline image processing and data privacy.

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

## Description

An MCP server that provides local image recognition on macOS, including OCR, image classification, comprehensive image analysis, and screenshot recognition, all via Apple's Vision framework without any network requests.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hnogi1uyvb)
- **Repository:** <https://github.com/carlleilzj/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": "carlleilzj-image-recognition-mcp"
    }
  }
}
```

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