# Sentiment Evolution Tracker

> Use this tool when you need to analyze and track customer sentiment over time, identify at-risk customers, and predict churn. It provides persistent sentiment analytics, automated risk alerting, and historical context across interactions, enabling informed decision-making and proactive customer engagement. Ideal for customer service and support teams seeking to enhance customer experience and reduce churn.

Canonical page: https://skillsregistry.net/skills/rubenreyesss-mcp-nlp-analytics  
JSON: https://api.skillsregistry.net/v1/skills/rubenreyesss-mcp-nlp-analytics

## Description

An enterprise-ready MCP server that provides persistent sentiment analytics, churn prediction, and automated risk alerting for customer conversations. Enables Claude to track sentiment trends, detect at-risk customers, generate reports, and maintain historical context across interactions.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bfo7qta6x6)
- **Repository:** <https://github.com/RubenReyesss/mcp-nlp-analytics>

## 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": "rubenreyesss-mcp-nlp-analytics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rubenreyesss-mcp-nlp-analytics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rubenreyesss-mcp-nlp-analytics/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