Computer Control
Computer Control MCP provides computer automation capabilities through a server that enables AI assistants to control mouse movements, keyboard input, take screenshots, perform OCR, and manage windows. Built with PyAutoGUI, RapidOCR, and ONNXRuntime, it offers similar functionality to Anthropic's 'computer-use' tool but with zero external dependencies. The implementation supports operations like clicking, typing, dragging, capturing screen content with text recognition, and window management, making it particularly useful for automating desktop tasks and enabling AI systems to interact directly with graphical user interfaces.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/ab498/computer-control-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Computer Control 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 --scope user for --scope project to commit it to .mcp.json.