Compare two AI tools side by side
Put any two skills or MCP servers next to each other: risk grade, what each can access, how popular it is, and how to install it.
| What | MCP Virtual Computer | open-computer-use |
|---|---|---|
| Risk grade | DD · High risk signals Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee. | BB · Some risk signals Based on public adoption and transparency signals as of Oct 17, 2026. Our opinion, not a code audit or security guarantee. |
| Type | App connector | App connector |
| Est. context load | ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context) | ~700 tokens / turn (~4 tool schemas, 0.35% of 200k context) |
| GitHub stars | — | 2.8k |
| Weekly npm downloads | — | 13.1k |
| Local files | No local folder access noted | No local folder access noted |
| Command execution | No shell command runner noted | No shell command runner noted |
| Network reach | Local or standard API calls | Local or standard API calls |
| Credentials | No API token required | Requires API key or token |
| Package source | PyPI (mcp-virtual-computer) | npm (open-computer-use) |
| Install command | uvx mcp-virtual-computer | npx -y open-computer-use |
| Bottom line | Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review. | This tool gives an AI model nearly complete control over your computer and visibility into everything on screen, so only use it in isolated environments with non-sensitive data and trusted AI models. |
Based on public adoption and transparency signals as of Oct 28, 2026. Our opinion, not a code audit or security guarantee.
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