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 | CLIProxyAPI | fastapi_mcp |
|---|---|---|
| Risk grade | BB · Some risk signals Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee. | BB · Some risk signals Based on public adoption and transparency signals as of Oct 16, 2026. Our opinion, not a code audit or security guarantee. |
| Type | App connector | App connector |
| Est. context load | ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context) | ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context) |
| GitHub stars | 56.8k | 12k |
| Weekly npm downloads | — | — |
| Local files | No local folder access noted | No local folder access noted |
| Command execution | Runs shell or system commands | No shell command runner noted |
| Network reach | Connects to outside service API | Connects to outside service API |
| Credentials | No API token required | No API token required |
| Package source | GitHub (router-for-me/CLIProxyAPI) | GitHub (tadata-org/fastapi_mcp) |
| Install command | Source repo only | Source repo only |
| Bottom line | CLIProxyAPI is distributed via GitHub (router-for-me/CLIProxyAPI); review its source code, dependencies, and requested permissions before use. | fastapi_mcp (MCP server) requires careful permission scoping — credential scope exposure: Auth tokens or API keys embedded in FastAPI app configuration could leak to AI context if not carefully isolated. |
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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