# Customer Service Data Analyst MCP Server

> Use this tool when you need to analyze and query customer support data to gain insights into customer interactions and resolve issues efficiently. It solves problems such as categorizing customer intents, filtering relevant records, and summarizing support tickets, providing outputs like categorized lists, filtered records, and summary reports. Ideal for use in customer service operations, it accepts inputs like query parameters and dataset selections, and is suitable for applications requiring data-driven customer support optimization.

Canonical page: https://skillsregistry.net/skills/carmithaas-customer-service-agent-carmit-haas  
JSON: https://api.skillsregistry.net/v1/skills/carmithaas-customer-service-agent-carmit-haas

## Description

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

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ou0z6uxben)
- **Repository:** <https://github.com/CarmitHaas/customer-service-agent-carmit-haas>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "carmithaas-customer-service-agent-carmit-haas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carmithaas-customer-service-agent-carmit-haas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carmithaas-customer-service-agent-carmit-haas/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt