67
/ 100
8 days ago
glama

Sales Analyzer MCP

Sales anomaly detection for a sample café dataset. Enables analyzing weekly sales, product history, and detecting anomalies like closures or pricing glitches.

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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configPORTThe server listens on port 8000 (override with the env var):
// 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/sakqo-sales-analyzer-mcp-xx1esr)](https://m8ven.ai/mcp/sakqo-sales-analyzer-mcp-xx1esr)
commit: 17134dc4543a8628febc28c2fa9566b4ef947a7a
code hash: c23734a51db6f7d3defa7919dac25f89a7fe1ea865a8fdf39ea8b3470a536545
verified: 7/23/2026, 9:11:23 AM
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