by zueai
Capture screenshots across macOS, Windows, and Linux using advanced screen capture and recording software for analysis,
Captures screenshots from multiple displays across macOS, Windows, and Linux, returning them as base64 strings for AI analysis.
Screenshot Capture is a community-built MCP server published by zueai that provides AI assistants with tools and capabilities via the Model Context Protocol. Capture screenshots across macOS, Windows, and Linux using advanced screen capture and recording software for analysis, It is categorized under productivity, developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
You can install Screenshot Capture in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Screenshot Capture is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
README content is unavailable from source data for this server.
Open GitHub repository →Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Useful MCP listing: Screenshot Capture is the kind of server we cite when onboarding engineers to host + tool permissions.
Screenshot Capture reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Screenshot Capture is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Screenshot Capture against two servers with overlapping tools; this profile had the clearer scope statement.
Screenshot Capture has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Screenshot Capture is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Screenshot Capture for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Screenshot Capture against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated Screenshot Capture against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Screenshot Capture is the kind of server we cite when onboarding engineers to host + tool permissions.
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Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
