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 | @di-framework/ai | mcp-framework |
|---|---|---|
| Risk grade | DD · High risk signals Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee. | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 17, 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) | ~1.4k tokens / turn (~8 tool schemas, 0.68% of 200k context) |
| GitHub stars | — | — |
| Weekly npm downloads | — | 63.2k |
| 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 | No API token required |
| Package source | npm (@di-framework/ai) | npm (mcp-framework) |
| Install command | npx -y @di-framework/ai | npx -y mcp-framework |
| Bottom line | Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review. | Use this only if you control the code, trust the developer, and carefully limit what systems and data the server can actually reach. |
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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