# sentiment-analyzer

> Use this tool when you need to analyze emotional tones or opinions expressed in text, solving problems such as understanding customer feedback or social media sentiment. It takes in text inputs and outputs a sentiment score or classification, providing valuable insights into user attitudes. Ideal for use cases like market research, customer service, or social media monitoring.

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

## Description

Provides a hello and echo tool for basic interaction.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k10kjggfqq)
- **Repository:** <https://github.com/DON-VXNKS/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": "don-vxnks-mcp-sentiment-analyzer"
    }
  }
}
```

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