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 | openserp | @openserp/mcp |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 26, 2026. Our opinion, not a code audit or security guarantee. | DD · High 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 | ~700 tokens / turn (~4 tool schemas, 0.35% of 200k context) | ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context) |
| GitHub stars | 1.5k | — |
| Weekly npm downloads | — | — |
| Local files | Reads local files | No local folder access noted |
| Command execution | No shell command runner noted | No shell command runner noted |
| Network reach | Fetches arbitrary web URLs | Local or standard API calls |
| Credentials | No API token required | No API token required |
| Package source | GitHub (karust/openserp) | npm (@openserp/mcp) |
| Install command | Source repo only | npx -y @openserp/mcp |
| Bottom line | The main danger is trusting web content retrieved from the open internet—attackers can create convincing fake information or inject hidden commands into pages that confuse your AI agent. | Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review. |
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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