BoxLite
Provides computer use capabilities through an isolated Ubuntu desktop sandbox environment, implementing Anthropic's computer use API for safe AI agent interaction with desktop applications. Built on the BoxLite sandboxing library, it exposes a unified 'computer' tool that enables mouse control, keyboard input, screenshot capture, and scrolling within a 1024x768 XFCE desktop environment. Designed for AI agents that need to interact with graphical applications, browse the web, or manipulate files while maintaining complete isolation from the host system through hardware-level VM virtualization.
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
- iot-hardware
- Source
- PulseMCP
- Repository
- github.com/boxlite-ai/boxlite-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve BoxLite 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.