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Sentiment Analyzer — Emotions, Confidence & Key Phrases

AI & Memory Remote 2 tools

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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How to connect

1
Add the remote MCP URL
Paste this endpoint into Claude, ChatGPT, or Cursor MCP settings.
https://sentiment-analyzer--axel-belfort.run.tools
2
Verify the tools loaded
Confirm tools/list returns the expected tools before relying on them in production.

Tools

(2)
  • 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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