Screeny
A privacy-first macOS MCP server that enables AI agents to capture screenshots of pre-approved application windows for development and debugging tasks.
What is Screeny?
Screeny is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to privacy-first macos mcp server that enables ai agents to capture screenshots of pre-approved application windows for development and debugging tasks.
A privacy-first macOS MCP server that enables AI agents to capture screenshots of pre-approved application windows for development and debugging tasks.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A privacy-first macOS MCP server that enables AI agents to c
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx screeny-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Screeny
What is Screeny?
Screeny is a Model Context Protocol (MCP) server that privacy-first macos mcp server that enables ai agents to capture screenshots of pre-approved application windows for development and debugging tasks. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Screeny?
Follow the installation instructions on the Screeny GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Screeny?
Screeny works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Screeny free to use?
Yes, Screeny is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Developer Tools MCP Servers
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Set Up Screeny in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Screeny?
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