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Harusame64/desktop-touch-mcp

by Various

Windows computer-use MCP server: drive any desktop app via semantic discover-then-act targeting (entities + leases, not pixel coordinates), with per-action perception guards, a nat

H

MCP

Harusame64/desktop-touch-mcp

Added 1 June 2026

#agent #anthropic #automation #cdp #claude #claude-code #computer-use #desktop-automation

Overview

A Windows computer-use MCP server that drives any desktop app via semantic discover-then-act targeting using entities and leases instead of pixel coordinates. It combines a native Rust UI Automation engine with Chrome DevTools Protocol integration and includes per-action perception guards for safer automation.

Best for

Best for
Developers building Windows desktop automation workflows that need a semantic, reliable alternative to traditional screen-scraping.

Use cases

  • Automate repetitive GUI tasks in Windows applications using natural language from an MCP client.
  • Perform semantic UI navigation in legacy or non-accessible apps with the Rust UIA engine.
  • Combine desktop and browser automation in a single MCP session for cross-application workflows.

Notes

A Windows computer-use MCP server that drives any desktop app via semantic discover-then-act targeting using entities and leases instead of pixel coordinates. It combines a native Rust UI Automation engine with Chrome DevTools Protocol integration and includes per-action perception guards for safer automation.

0 stars on GitHub. Last updated 2026-05-25. Licensed MIT.

Use cases

  • Automate repetitive GUI tasks in Windows applications using natural language from an MCP client.
  • Perform semantic UI navigation in legacy or non-accessible apps with the Rust UIA engine.
  • Combine desktop and browser automation in a single MCP session for cross-application workflows.

Pros

  • Semantic targeting avoids brittle pixel coordinates, improving automation reliability.
  • Per-action perception guards reduce the risk of unintended operations.
  • Supports both native Windows apps and Chrome via CDP for broad desktop control.

Cons

  • Windows-only with no cross-platform support.
  • New project with zero stars and limited community adoption, so long-term stability is unproven.
  • Requires understanding the lease-based targeting model and setting up an MCP client.

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Semantic targeting avoids brittle pixel coordinates, improving automation reliability.
  • Per-action perception guards reduce the risk of unintended operations.
  • Supports both native Windows apps and Chrome via CDP for broad desktop control.

Cons

  • Windows-only with no cross-platform support.
  • New project with zero stars and limited community adoption, so long-term stability is unproven.
  • Requires understanding the lease-based targeting model and setting up an MCP client.