# FreezeText MCP

> Use this tool when you need to extract text from your Mac screen, including videos, popups, and protected PDFs, using Optical Character Recognition (OCR) technology. It solves problems such as accessing text from non-selectable sources and managing a searchable history of captured text. The FreezeText MCP server takes inputs from Claude, Cursor, or other MCP clients and outputs extracted text, with 12 tools available for various use cases.

Canonical page: https://skillsregistry.net/skills/juergenkoller-software-freezetext-mcp  
JSON: https://api.skillsregistry.net/v1/skills/juergenkoller-software-freezetext-mcp

## Description

MCP server for FreezeText — OCR anything on your Mac screen from Claude, Cursor, or any MCP client. Freeze the screen and extract text via Apple Vision (videos, popups, protected PDFs), OCR a region or a base64 image, and manage a searchable capture history. 12 tools. Bridge open-source (MIT), FreezeText app is free.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gui68nj3hh)
- **Repository:** <https://github.com/juergenkoller-software/freezetext-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": "juergenkoller-software-freezetext-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/juergenkoller-software-freezetext-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/juergenkoller-software-freezetext-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