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 | open-science | opentakeoff |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 30, 2026. Our opinion, not a code audit or security guarantee. | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee. |
| Type | App connector | App connector |
| Est. context load | ~1.1k tokens / turn (~6 tool schemas, 0.53% of 200k context) | ~1.1k tokens / turn (~6 tool schemas, 0.55% of 200k context) |
| GitHub stars | 2.1k | 716 |
| Weekly npm downloads | — | 2.3k |
| Local files | No local folder access noted | Reads local files |
| Command execution | No shell command runner noted | No shell command runner noted |
| Network reach | Connects to outside service API | Fetches arbitrary web URLs |
| Credentials | No API token required | No API token required |
| Package source | GitHub (ai4s-research/open-science) | npm (opentakeoff-mcp) |
| Install command | Source repo only | npx -y opentakeoff-mcp |
| Bottom line | This tool runs on your machine with broad access to your files and can send data to external AI services, so only use it with research you're comfortable sharing and only install connectors from trusted sources. | Use this tool only with non-sensitive construction documents, verify all takeoffs manually before relying on them, and keep it on isolated machines without access to other company systems or networks. |
Based on public adoption and transparency signals as of Oct 29, 2026. Our opinion, not a code audit or security guarantee.
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