Add Screeny MCP Server

[rohanrav]

Description

Add Screeny to Community Servers list in README. Screeny is a privacy-first macOS MCP server that enables AI agents to capture screenshots of user-approved application windows, providing visual context for development and debugging tasks.

Screeny

Motivation and Context

I couldn't find an existing MCP server for taking screenshots of desktop applications (while some existed for browsers). As someone starting in mobile development, I needed something to screenshot my iOS simulator and other windows for debugging and development tasks.

I also wanted a privacy-first approach where users pre-approve specific windows that can be captured, and the system technically enforces these restrictions - even if the model tries, it cannot access beyond approved windows. This server solves the issue of manually taking screenshots repeatedly to describe issues while maintaining strict user control over what can be captured.

How Has This Been Tested?

• Tested with Claude Desktop and Cursor on macOS
• Verified screenshot capture of approved windows in background without focus changes
• Tested window approval system and permission handling
• Verified privacy controls - only pre-approved windows accessible
• Error handling tested (multiple failure scenarios)

Breaking Changes

No breaking changes, just an addition to the README community server list.

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Documentation update

Checklist

• I have read the MCP Protocol Documentation
• My changes follows MCP security best practices
• I have updated the server's README accordingly
• I have tested this with an LLM client
• My code follows the repository's style guidelines
• New and existing tests pass locally
• I have added appropriate error handling
• I have documented all environment variables and configuration options

Additional context