invarianteval-mcp

Enables AI agents to run safety-invariant checks on structured outputs, ensuring locked fields are never auto-filled by the model without human confirmation. The server provides two tools: check_invariants and list_invariants for deterministic eval of high-stakes extractions.

→ AlpharomeroJL/invarianteval · 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.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 2 credentials: OPENAI_API_KEY, INVARIANTEVAL_SECRET

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.

🔐 secretOPENAI_API_KEY— openai: opt-in via , used only when explicitly configured or as a fallback target.

configINVARIANTEVAL_DB

configDATABASE_URL

🔐 secretINVARIANTEVAL_SECRET

// 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 4 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/alpharomerojl-invarianteval-16o8hl)](https://m8ven.ai/mcp/alpharomerojl-invarianteval-16o8hl)

commit: 271915b8d3c7026afcb23af5fbcd4e2abd6751ff

code hash: d41e34920a17fb308fb8287169ddf490d35ccde11426b7dd62f23d078b88a2ba

verified: 6/23/2026, 10:47:48 AM

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