edamcp

An MCP server for Exploratory Data Analysis that automatically profiles datasets, detects quality issues, PII, bias, and leakage, and provides cleaning and export workflows. It helps data scientists quickly understand and prepare unknown data for modeling.

→ charliecpeterson/edamcp · 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.

// required environment variables

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

configEDAMCP_ARTIFACT_DIR

// 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/charliecpeterson-edamcp-158ys9)](https://m8ven.ai/mcp/charliecpeterson-edamcp-158ys9)

commit: d4e3a27d4de59e3ff7cf67886ed3ce82a4c0ef6c

code hash: faccd475e3d07ade1ed231fc31cb46fabde22fa1093c2bc350516289355f25dc

verified: 6/18/2026, 10:50:34 AM

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