shadow-perception-mcp

An MCP server that scans data science artifacts (Jupyter notebooks, R scripts, code) and runs a 5-voice compliance council to detect issues like leakage and fairness, outputting signed verdicts.

→ alex-jb/shadow-perception-mcp · 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 3 credentials: SHADOW_PERCEPTION_ATTESTATION_SECRET, SHADOW_PERCEPTION_ED25519_PRIVATE_KEY, SHADOW_PERCEPTION_ED25519_PUBLIC_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.

configSHADOW_PERCEPTION_ATTESTATION_MODE

🔐 secretSHADOW_PERCEPTION_ATTESTATION_SECRET

🔐 secretSHADOW_PERCEPTION_ED25519_PRIVATE_KEY

🔐 secretSHADOW_PERCEPTION_ED25519_PUBLIC_KEY

configSHADOW_PERCEPTION_KEY_ID

// 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 1 concrete improvement 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/alex-jb-shadow-perception-mcp-1adrnz)](https://m8ven.ai/mcp/alex-jb-shadow-perception-mcp-1adrnz)

commit: 6d3a3496be6fa5ecfc45c2039f3f7dcbd519bfaa

code hash: 05f651cc03f0cbbecf17488a7b5cda18f47ce7c1fe062faebe85e0415a6471af

verified: 7/9/2026, 9:59:37 AM

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