# Clootrack

> Use this tool when you need to analyze large volumes of customer feedback from various sources, such as reviews, surveys, and calls, to uncover AI-powered themes and sentiment insights. It solves problems related to understanding customer opinions, emotions, and preferences, enabling data-driven decision-making. Ideal for use in customer experience, market research, and product development contexts.

Canonical page: https://skillsregistry.net/skills/com-clootrack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-clootrack-mcp

## Description

Analyze customer feedback at scale — reviews, surveys, calls. AI-powered themes and sentiment.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.clootrack%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.clootrack.com`

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": "com-clootrack-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-clootrack-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-clootrack-mcp/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