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Quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes.
Quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes.
Set these up before or after installing:
Environment variable: GROQ_API_KEY
Environment variable: CEREBRAS_API_KEY
Environment variable: MONGODB_URL
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-assister-xyz-agenttrust": {
"env": {
"MONGODB_URL": "your-mongodb-url-here",
"GROQ_API_KEY": "your-groq-api-key-here",
"CEREBRAS_API_KEY": "your-cerebras-api-key-here"
},
"args": [
"mcp-agenttrust"
],
"command": "uvx"
}
}
}AgentTrust is a well-structured AI agent quality verification system with proper authentication patterns and security practices. The system includes comprehensive evaluation capabilities, W3C Verifiable Credentials, and multiple security layers including adversarial probing. Minor concerns include broad exception handling patterns and environment variable access, but these are appropriate for a developer tool of this scope. Supply chain analysis found 7 known vulnerabilities in dependencies (0 critical, 6 high severity). Package verification found 1 issue.
Scanned 5 files · 12 findings
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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