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 | pagerduty-mcp | browser-use |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 24, 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 | 79 | 120k |
| 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 | Fetches arbitrary web URLs |
| Credentials | No API token required | Requires API key or token |
| Package source | PyPI (pagerduty-mcp) | GitHub (browser-use/browser-use) |
| Install command | uvx pagerduty-mcp | Source repo only |
| Bottom line | pagerduty-mcp is distributed via PyPI (pagerduty-mcp); review its source code, dependencies, and requested permissions before use. | browser-use (MCP server) requires careful permission scoping — credential exposure:: AI agents piloting browsers may accidentally log into sensitive accounts or transmit credentials through logs; requires strict environment variable isolation and review trails. |
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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