# -sentiment-analyzer-

> -sentiment-analyzer- — claudette-mcp-sentiment-analyzer. Use this tool when you need to analyze text for emotional tone and sentiment, solving problems such as understanding customer feedback or social media opinions. It takes in text inputs and outputs sentiment scores and emotion detection results, providing valuable insights into user attitudes and emotions. Ideal for use cases like market research, customer service, and social media monitoring, where understanding public sentiment is crucial.

Canonical page: https://skillsregistry.net/skills/claudette-mcp-sentiment-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/claudette-mcp-sentiment-analyzer

## Description

`Advanced sentiment analysis MCP server with emotion detection - Generated by Claudette`

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/claudette-mcp/-sentiment-analyzer-)

## 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": "claudette-mcp-sentiment-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/claudette-mcp-sentiment-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/claudette-mcp-sentiment-analyzer/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