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 | Prefeitura SP Araçariguama: NFS-e (Nota Fiscal Eletrônica de Serviços) | karajan-code |
|---|---|---|
| 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. | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 29, 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) | ~600 tokens / turn (~3 tool schemas, 0.3% of 200k context) |
| GitHub stars | — | 41 |
| Weekly npm downloads | — | 6.9k |
| 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 | GitHub (mcp-dir/pref_sp_aracariguama_nfs-mcp) | npm (karajan-code) |
| Install command | Source repo only | npx -y karajan-code |
| Bottom line | Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review. | The tool is only as safe as your AI assistant configurations, git credentials, and test suite quality—misconfiguration or prompt injection can undo all the governance it provides. |
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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