From 4001b41358e362cddb889e61bbf6b5000dabfadf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Adrian=20Wo=C5=82czuk?= Date: Wed, 17 Jun 2026 09:00:42 +0200 Subject: [PATCH] docs: add Glama badge to woladi/macos-vision-mcp entry --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index dd7e30726..4cd2fa670 100644 --- a/README.md +++ b/README.md @@ -2046,7 +2046,7 @@ Provides the ability to handle multimedia, such as audio and video editing, play - [video-edit-mcp](https://github.com/Aditya2755/video-edit-mcp) 🐍 🏠 🍎 🪟 - Comprehensive video and audio editing MCP server with advanced operations including trimming, merging, effects, overlays, format conversion, audio processing, YouTube downloads, and smart memory management for chaining operations without intermediate files - [TopazLabs/topaz-mcp](https://github.com/TopazLabs/topaz-mcp) 📇 ☁️ 🍎 🪟 🐧 - AI image enhancement (upscaling, denoising, sharpening) via Topaz Labs API. Supports 8 models including Standard V2, Wonder 2, Bloom, and Recover 3. - [verIdyia/autoeq-mcp](https://github.com/verIdyia/autoeq-mcp) [![autoeq-mcp MCP server](https://glama.ai/mcp/servers/verIdyia/autoeq-mcp/badges/score.svg)](https://glama.ai/mcp/servers/verIdyia/autoeq-mcp) 🐍 🏠 🍎 🪟 🐧 - Headphone/IEM equalization database with 8,800+ models from AutoEQ. Search by name or sound signature, get parametric EQ settings, compare headphones band-by-band, and browse Harman preference score rankings. Includes automatic sound signature classification (Neutral, Warm, Bright, Dark, V-shaped, etc.). -- [woladi/macos-vision-mcp](https://github.com/woladi/macos-vision-mcp) 📇 🏠 🍎 - Local OCR and image analysis via Apple Vision Framework. Wraps macOS's native Vision API to expose OCR for images and PDFs (with reading-order paragraphs, bounding boxes, line/paragraph IDs, and confidence), face / barcode / QR / document-corner detection, and image classification — all as MCP tools any client (Claude Code, Claude Desktop, Cursor, Codex CLI) can call. ~97% token savings vs sending raw images. Fully offline, no API keys, files never leave the Mac. One-line install: `npx -y macos-vision-mcp`. +- [woladi/macos-vision-mcp](https://github.com/woladi/macos-vision-mcp) [![macos-vision-mcp MCP server](https://glama.ai/mcp/servers/woladi/macos-vision-mcp/badge)](https://glama.ai/mcp/servers/woladi/macos-vision-mcp) 📇 🏠 🍎 - Local OCR and image analysis via Apple Vision Framework. Wraps macOS's native Vision API to expose OCR for images and PDFs (with reading-order paragraphs, bounding boxes, line/paragraph IDs, and confidence), face / barcode / QR / document-corner detection, and image classification — all as MCP tools any client (Claude Code, Claude Desktop, Cursor, Codex CLI) can call. ~97% token savings vs sending raw images. Fully offline, no API keys, files never leave the Mac. One-line install: `npx -y macos-vision-mcp`. ### 🖥️ OS Automation