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Quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes.
About
Quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes.
What You'll Need
Set these up before or after installing:
Groq API key for LLM judge (free tier available at console.groq.com)Required
Environment variable: GROQ_API_KEY
Cerebras API key for LLM judge (free tier available at cloud.cerebras.ai)Required
Environment variable: CEREBRAS_API_KEY
MongoDB connection URL for persistent storageRequired
Environment variable: MONGODB_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-vitaliiserbynassisterr-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"
}
}
}Security Report
4.2
Use Caution4.2High RiskThis is a well-structured quality verification system for AI agents with comprehensive evaluation pipelines and security-conscious design. While there are some code quality issues like broad exception handling and the use of eval() for mathematical expressions, these are low-severity concerns that don't significantly impact security given the server's legitimate purpose. 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.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
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