AI Evaluator MCP Server

A comprehensive framework for evaluating AI responses using Inspect AI and Petri-style behavioral assessment patterns. Built as an MCP server for real-time evaluation during AI development.

→ maddygoround/eval · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 1 credential: ANTHROPIC_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

🔐 secretANTHROPIC_API_KEY— echo "=your-key-here" > .env

configLOG_DIR

configDB_PATH

configMAX_HISTORY_ITEMS

configMAX_CONTEXT_CHARS

configCOMPACTION_TARGET_CHARS

configKEEP_RECENT_ITEMS

configJUDGE_MODEL— anthropic/claude-sonnet-4-5-20250929

configPASS_THRESHOLD

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/maddygoround-eval-1qsn98)](https://m8ven.ai/mcp/maddygoround-eval-1qsn98)

commit: a36c4fe0ebfc14866fdc1a18d875077d84479df7

code hash: 7d014366149fad7fc38f03e222f3a0de2d9df8ac6ccfc8084574c9342535dbed

verified: 6/21/2026, 10:19:34 AM

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