# macos-vision-mcp

> Use this tool when you need to extract text from images and PDFs or detect visual elements like faces, barcodes, and QR codes without relying on online APIs or compromising privacy. It provides local OCR and image analysis capabilities via the Apple Vision Framework, accepting image and PDF inputs and producing extracted text and detection outputs. Ideal for offline, private, and secure document processing and analysis tasks.

Canonical page: https://skillsregistry.net/skills/woladi-macos-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/woladi-macos-vision-mcp

## Description

Local OCR & image analysis via Apple Vision Framework — private, offline, no API keys. Extracts text from images and PDFs, detects faces, barcodes, QR codes, and document corners. Works with Claude Code, Claude Desktop, and Cursor.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o5s9q3hklh)
- **Repository:** <https://github.com/woladi/macos-vision-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": "woladi-macos-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/woladi-macos-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/woladi-macos-vision-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