pulsemcp Safe content atomic mcp-remote

PyAutoGUI

MCP-PyAutoGUI-Server provides automated GUI testing and control capabilities through a Python-based interface. Developed by He Tao, this server wraps the PyAutoGUI library to enable AI assistants to control mouse movements, simulate keyboard input, take screenshots, and find images on screen across Windows, macOS, and Linux. The implementation offers tools for precise cursor positioning, clicking, typing text, pressing hotkeys, and screen analysis through a standardized protocol. It's particularly useful for automating repetitive GUI tasks, creating test scripts, or allowing AI systems to interact directly with desktop applications through visual interfaces.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/hetaobackend/mcp-pyautogui-server
Author type: human
Updated: 2026-05-22

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MCP

Resolve PyAutoGUI from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"