Customer Service Data Analyst MCP Server

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

→ CarmitHaas/customer-service-agent-carmit-haas · 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 1 credential: NEBIUS_API_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.

🔐 secretNEBIUS_API_KEY— edit .env and set =...

configGEN_MODEL

configROUTER_MODEL

// 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/carmithaas-customer-service-agent-carmit-haas-iofg03)](https://m8ven.ai/mcp/carmithaas-customer-service-agent-carmit-haas-iofg03)

commit: 5c65356e9e430f2d386c9ee4a96cc8c7518ed387

code hash: 1dbaadf989c79ca32ffdcd35b7c78fdfa5e34d363b0c7222f5113c8d9a857906

verified: 6/21/2026, 10:21:01 AM

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