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 | aws-s3-mcp | paws-on-mcp |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee. | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee. |
| Type | App connector | App connector |
| Est. context load | ~650 tokens / turn (~4 tool schemas, 0.33% of 200k context) | ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context) |
| GitHub stars | 30 | 326 |
| Weekly npm downloads | 9.4k | — |
| 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 | Connects to outside service API |
| Credentials | Requires API key or token | No API token required |
| Package source | npm (aws-s3-mcp) | GitHub (hemanth/paws-on-mcp) |
| Install command | npx -y aws-s3-mcp | Source repo only |
| Bottom line | Use this tool only with narrow AWS permissions, restricted to specific S3 buckets you fully control, and monitor what data the AI accesses. | Use this tool only if you trust the maintainer, carefully limit what data and systems it can access, monitor its behavior, and treat any information it handles as potentially exposed to the AI model. |
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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