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 | @cocaxcode/api-testing-mcp | awesome-ai-pentesting |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee. | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee. |
| Type | App connector | App connector |
| Est. context load | ~750 tokens / turn (~4 tool schemas, 0.38% of 200k context) | ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context) |
| GitHub stars | 13 | 98 |
| Weekly npm downloads | 169 | — |
| 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 | Connects to outside service API | Local or standard API calls |
| Credentials | Requires API key or token | No API token required |
| Package source | npm (@cocaxcode/api-testing-mcp) | GitHub (skyvanguard/awesome-ai-pentesting) |
| Install command | npx -y @cocaxcode/api-testing-mcp | Source repo only |
| Bottom line | @cocaxcode/api-testing-mcp requires API keys or tokens; restrict its folder reach, network access, and credentials before installing. | Signal-based grade (2/7 points): public source code. This reflects adoption and transparency, not a code review. |
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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