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sandraschi

pywinauto-mcp

by sandraschi
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Python
Local

windows-computer-use-mcp

A tool for agents, and an agent itself.

You

It

Use it as an MCP server

Claude, Cursor, DeepSeek call automation_click, automation_screenshot, automation_ocr — 22 tools

Use it as an autonomous agent

Give it a goal: automation_mission(run="install app, verify UI, screenshot result") — it plans, executes, retries, and reports

Use it as a webapp

start.ps1 opens a React dashboard at http://127.0.0.1:10788 with HITL, crawler, logging

Use it as a desktop app

The NSIS installer bundles everything into one binary — no Python, no uv, no git needed

Exhibit A: 100 Tauri/NSIS installers, one unattended run, $2 in LLM costs. Install, screenshot, verify, report — zero human intervention. That is what agentic Windows automation looks like at scale.

Built on pywinauto. Read docs/SAFETY.md before production use.

Quick Start

Method

Command / Config

MCP stdio (Cursor, Claude Desktop)

{ "mcpServers": { "windows-computer-use": { "command": "uv", "args": ["--directory", "<PATH>", "run", "windows-computer-use-mcp"] } } }

HTTP streamable (any MCP HTTP client)

{ "mcpServers": { "windows-computer-use": { "url": "http://127.0.0.1:10789/mcp" } } }

Web operator UI

.\start.ps1 → http://127.0.0.1:10788

Desktop app (NSIS installer)

Download from Releases — zero deps

See INSTALL.md for detailed setup. Run just demo for examples.

Related MCP server: openowl

Features

  • Window Management — find, activate, maximize, minimize, position, close

  • Mouse & Keyboard — click, drag, type, hotkeys, app shortcuts

  • UI Elements — inspect, click, read text, verify state via UIA / Win32

  • Visual Intelligence — screenshots, OCR, template matching

  • Autonomous Missions — give it a goal, it plans and executes with retry + verification

  • Macro Recording — record any UI sequence, replay, verify outcomes

  • Multi-App Workflows — chain actions across Notepad, Calc, Paint, or any Windows app

  • Telemetry — every action logged to SQLite; query failure patterns by tool

  • Adaptive Location — auto-cascades through title/auto_id/control_id/class/OCR to find elements

  • Face Recognition — optional, off by default

Documentation

Doc

Content

INSTALL.md

Setup: desktop app, uv, MCP config

docs/README.md

Full documentation hub

docs/py-stack.md

Python dependency deep dive

docs/composing-with-playwright.md

Browser automation with Playwright MCP

docs/ocr.md

OCR system — Tesseract setup, limitations, competition

docs/cua-nsis-certification.md

Dogfooding: using the tool to test its own NSIS installer

docs/ROADMAP.md

Improvement roadmap short/medium/long term

docs/SAFETY.md

HITL, kill switch, opt-in features

docs/TOOLS.md

Portmanteau tool reference

tests/README.md

Test suite guide and e2e setup

examples/README.md

Runnable demos

mcpb/README.md

MCPB bundle packaging

web_sota/README.md

Operator UI build/dev guide

CHANGELOG.md

Release history

Ports

Port

Service

10788

Frontend — Vite operator UI

10789

Backend — FastAPI + FastMCP HTTP

stdio

MCP transport (port-free)

Related

Repo

What it does

autohotkey-mcp

Raw input recording/replay via AHK

browser-mcp

Playwright browser control — for webapps, HTML DOM, websites

virtualization-mcp

Sandbox / VM isolation

windows-operations-mcp

Registry, services, accounts

Browser vs desktop: This server drives Win32 / UI Automation. For HTML/DOM and websites, pair with browser-mcp (Playwright). Both MCPs can run side by side — use one profile that loads both and let the LLM pick the right tool for the target.

Fleet standards: mcp-central-docs.

License

MIT — Copyright (c) 2026 Sandra Schipal.

This server cannot be installed

A
license - permissive license
-
quality - not tested
A
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
0dRelease cycle
3Releases (12mo)
Commit activity
Issues opened vs closed

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