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 | stride-gpt | gpt-researcher |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 27, 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) | ~500 tokens / turn (~3 tool schemas, 0.25% of 200k context) |
| GitHub stars | 1.1k | 30.4k |
| Weekly npm downloads | — | — |
| 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 | Fetches arbitrary web URLs |
| Credentials | Requires API key or token | Requires API key or token |
| Package source | GitHub (mrwadams/stride-gpt) | GitHub (assafelovic/gpt-researcher) |
| Install command | Source repo only | Source repo only |
| Bottom line | Use this tool as one part of your threat modeling process, not as your only security check—always have security experts review the AI output, keep API keys private, and be careful about what application details you share with the model. | gpt-researcher (MCP server) requires careful permission scoping — lLM provider credential exposure:: Agent requires API keys for LLM backends and search tools; misconfigured scope or logging could leak credentials into research artifacts. |
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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