# io.github.woladi/macos-vision-mcp

> Use this tool when you need to perform local Optical Character Recognition (OCR) and image analysis on macOS devices without relying on cloud services or API keys. It solves problems related to document scanning, text extraction, and image processing, particularly for PDF files, reducing token usage by approximately 97%. The tool takes images and PDFs as input and outputs extracted text and analyzed image data.

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

## Description

Local OCR & image analysis via Apple Vision — no cloud, no API keys, ~97% fewer tokens on PDFs.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.2.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.woladi%2Fmacos-vision-mcp)
- **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": "io-github-woladi-macos-vision-mcp"
    }
  }
}
```

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

---
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