目录 / Sentiment Analyzer — Emotions, Confidence & Key Phrases
MCP
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Sentiment Analyzer — Emotions, Confidence & Key Phrases
Text sentiment analysis API for AI agents. Analyze sentiment (positive/negative/neutral) with confidence score, emotion detection (joy, anger, fear, surprise, sadness), and key phrase extraction. Single and batch modes. Tools: text_analyze_sentiment (single), text_analyze_sentiment_batch (multiple texts). Use this for social media monitoring, review analysis, brand sentiment tracking, or content moderation. IMPORTANT: For content topic classification, use text_classify_content instead. Returns: {sentiment, confidence, emotions[], keyPhrases[]}. No API key required — x402 micropayment $0.005/call on Base L2.
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接入信息
- 传输形态
- http
- 鉴权方式
- 鉴权未知
- 端点
https://sentiment-analyzer--axel-belfort.run.tools
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{
"mcpServers": {
"Sentiment Analyzer — Emotions, Confidence \u0026 Key Phrases": {
"url": "https://sentiment-analyzer--axel-belfort.run.tools"
}
}
}
能力清单
| 工具 | 说明 |
|---|---|
| text_analyze_sentiment | Use this when you need to determine the emotional tone and sentiment of text. Returns structured sentiment analysis with emotion breakdown and key drivers. 1. sentiment: overall sentiment label (posi |
| text_analyze_sentiment_batch | Use this when you need to analyze sentiment of multiple texts at once (up to 20). Returns an array of individual sentiment results in one call. 1. results: array of sentiment objects, one per input t |
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