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 | ETF Research | gpt-researcher |
|---|---|---|
| Risk grade | DD · High 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 | ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context) | ~500 tokens / turn (~3 tool schemas, 0.25% of 200k context) |
| GitHub stars | — | 30.4k |
| Weekly npm downloads | 43 | — |
| 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 | Fetches arbitrary web URLs |
| Credentials | No API token required | Requires API key or token |
| Package source | npm (etf-research-mcp) | GitHub (assafelovic/gpt-researcher) |
| Install command | npx -y etf-research-mcp | Source repo only |
| Bottom line | Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review. | 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 28, 2026. Our opinion, not a code audit or security guarantee.
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