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AI agent orchestrator with Architect AI. Multi-team, web dashboard, 35+ MCP tools.
About
AI agent orchestrator with Architect AI. Multi-team, web dashboard, 35+ MCP tools.
Security Report
3.8
Use Caution3.8High RiskZooGent is a well-architected AI agent orchestrator with reasonable security fundamentals, including encryption of sensitive data at rest, per-team isolation, and careful credential handling. However, several moderate concerns exist: the TypeScript agent sandbox relies on Node.js `--permission` flags which may not fully prevent exploitation, credential passing via environment variables introduces potential leakage risks in logs/debugging, and the exec runtime mode offers minimal sandboxing. These issues are somewhat mitigated by design (e.g., log sanitization, permission scoping), but users deploying to shared infrastructure should be aware of the limitations. Supply chain analysis found 22 known vulnerabilities in dependencies (1 critical, 7 high severity). Package verification found 1 issue.
4 files analyzed · 33 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
URL of the ZooGent server (for remote connections)
Environment variable: ZOOGENT_URL
API key for authenticating with the ZooGent server (generate in Settings UI)Required
Environment variable: ZOOGENT_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-bepunk-zoogent": {
"env": {
"ZOOGENT_URL": "your-zoogent-url-here",
"ZOOGENT_API_KEY": "your-zoogent-api-key-here"
},
"args": [
"-y",
"zoogent"
],
"command": "npx"
}
}
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