developer-tools

Desktop Automation

tanob

by tanob

Automate desktop tasks using RobotJS for screen capture, keyboard, and mouse control—seamless integration with power aut

Enables desktop automation with RobotJS for screen capture, keyboard input, and mouse control, allowing direct interaction with desktop applications without manual intervention.

github stars

26

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Works with any desktop applicationRequires system permissions for screen/input control1MB response limit affects high-res screenshots

best for

  • / Automating repetitive desktop tasks
  • / Testing desktop applications
  • / AI assistants controlling desktop software
  • / Screen-based workflow automation

capabilities

  • / Capture desktop screenshots
  • / Control mouse movement and clicks
  • / Type text and press keyboard keys
  • / Get screen dimensions
  • / Automate interactions with any desktop application

what it does

Controls your desktop programmatically by capturing screenshots, moving the mouse, clicking, and typing text. Lets AI assistants interact directly with any desktop application.

about

Desktop Automation is a community-built MCP server published by tanob that provides AI assistants with tools and capabilities via the Model Context Protocol. Automate desktop tasks using RobotJS for screen capture, keyboard, and mouse control—seamless integration with power aut It is categorized under developer tools.

how to install

You can install Desktop Automation 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.

license

MIT

Desktop Automation is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Desktop Automation

A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities. This server enables LLMs to control mouse movements, keyboard inputs, and capture screenshots of the desktop environment.

Configuration to use Desktop Automation Server

Here's how to configure Claude Desktop to use the MCP Desktop Automation server:

NPX

{
  "mcpServers": {
    "desktop-automation": {
      "command": "npx",
      "args": ["-y", "mcp-desktop-automation"]
    }
  }
}

Permissions

This server requires system-level permissions to:

  • Capture screenshots of your screen
  • Control mouse movement and clicks
  • Simulate keyboard input

When first running Claude Desktop with this server, you may need to grant these permissions in your operating system's security settings.

Limitations

While this server works with various MCP clients, it has been primarily tested with Claude Desktop.

Important: The current implementation has a 1MB response size limit. For screen captures, this means:

  • High-resolution screenshots may exceed this limit and fail
  • Testing has shown 800x600 resolution works reliably
  • Consider reducing screen resolution or capturing specific screen areas if you encounter issues

Requirements

  • Node.js (>=14.x)

Components

Tools

  • get_screen_size

    • Gets the screen dimensions
    • No input parameters required
  • screen_capture

    • Captures the current screen content
    • No input parameters required
  • keyboard_press

    • Presses a keyboard key or key combination
    • Inputs:
      • key (string, required): Key to press (e.g., 'enter', 'a', 'control')
      • modifiers (array of strings, optional): Modifier keys to hold while pressing the key. Possible values: "control", "shift", "alt", "command"
  • keyboard_type

    • Types text at the current cursor position
    • Input: text (string, required): Text to type
  • mouse_click

    • Performs a mouse click
    • Inputs:
      • button (string, optional, default: "left"): Mouse button to click. Possible values: "left", "right", "middle"
      • double (boolean, optional, default: false): Whether to perform a double click
  • mouse_move

    • Moves the mouse to specified coordinates
    • Inputs:
      • x (number, required): X coordinate
      • y (number, required): Y coordinate

Resources

The server provides access to screenshots:

  1. Screenshot List (screenshot://list)

    • Lists all available screenshots by name
  2. Screenshot Content (screenshot://{id})

    • PNG images of captured screenshots
    • Accessible via the screenshot ID (timestamp-based naming)

Key Features

  • Desktop mouse control
  • Keyboard input simulation
  • Screen size detection
  • Screenshot capabilities
  • Simple JSON response format

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

FAQ

What is the Desktop Automation MCP server?
Desktop Automation is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Desktop Automation?
This profile displays 70 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.770 reviews
  • Sofia Haddad· Dec 28, 2024

    We wired Desktop Automation into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Alexander Anderson· Dec 28, 2024

    I recommend Desktop Automation for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Anika Verma· Dec 8, 2024

    Desktop Automation is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Anika Nasser· Dec 8, 2024

    Desktop Automation is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • James Sethi· Nov 27, 2024

    Useful MCP listing: Desktop Automation is the kind of server we cite when onboarding engineers to host + tool permissions.

  • James Reddy· Nov 27, 2024

    We evaluated Desktop Automation against two servers with overlapping tools; this profile had the clearer scope statement.

  • Anaya Harris· Nov 19, 2024

    Strong directory entry: Desktop Automation surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Anika Abbas· Oct 18, 2024

    We evaluated Desktop Automation against two servers with overlapping tools; this profile had the clearer scope statement.

  • Amina Li· Oct 18, 2024

    Useful MCP listing: Desktop Automation is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Anika Anderson· Oct 10, 2024

    Desktop Automation has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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