# Sentiment + Sarcasm Analyzer

> Use this tool when you need to analyze text for sentiment and detect sarcasm, solving problems such as understanding customer feedback, social media posts, or user reviews. It takes in text input and outputs sentiment classification (positive/negative) and sarcasm detection results. Ideal for use cases where nuanced text analysis is required, such as market research, customer service, or social media monitoring.

Canonical page: https://skillsregistry.net/skills/igorpavlov-mgr-mcp-sentiment  
JSON: https://api.skillsregistry.net/v1/skills/igorpavlov-mgr-mcp-sentiment

## Description

A lightweight Gradio application that analyzes text for sentiment (positive/negative) and sarcasm detection using Hugging Face Transformers, designed to run on CPU and compatible with the MCP server architecture.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x96vl71u5l)
- **Repository:** <https://github.com/igorpavlov-mgr/mcp-sentiment>

## 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": "igorpavlov-mgr-mcp-sentiment"
    }
  }
}
```

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