mcp-data-summary

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

→ Geyo33/mcp-learning-project · 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.

// 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 6 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/geyo33-mcp-learning-project-16r0an)](https://m8ven.ai/mcp/geyo33-mcp-learning-project-16r0an)

commit: 3d246a2d142d8eced7886a0a6290d6c861f85971

code hash: 759be538dd4374c7cd6d7f7bb202f6997a6cc1474b44843bd15d8ad62fe924cf

verified: 6/22/2026, 1:08:01 PM

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