Sentiment Analyzer API
Score customer feedback, reviews, or marketing copy for sentiment, emotions, confidence, and key phrases inside your agent workflows.
Overview
Sentiment Analyzer is an MCP server for the Grow phase that analyzes text sentiment, emotions, confidence scores, and key phrases with x402 USDC billing.
What is this MCP server?
- Sentiment scoring with confidence values on arbitrary text
- Emotion detection alongside polarity analysis
- Key phrase extraction for quick theme spotting
- Remote MCP SSE at sentiment-analyzer.api.klymax402.com
- x402 USDC micropayment billing on version 1.1.0
- Server version 1.1.0
- x402 USDC micropayment protocol
- Remote SSE MCP endpoint documented in server.json
What problem does it solve?
You have piles of user text—reviews, tickets, comments—and need fast structured sentiment without building or hosting your own NLP service.
Who is it for?
Indie builders batching feedback analysis, monitoring tone shifts, or sanity-checking copy through an MCP-connected agent.
Skip if: Enterprises requiring on-prem models, regulatory-grade model cards, or multilingual coverage guarantees not stated in the server description.
What do I get? / Deliverables
Your agent returns scored sentiment, emotions, and key phrases so you can prioritize fixes, messaging, and retention work with clearer signals.
- Sentiment labels with confidence scores
- Emotion and key-phrase summaries for analyzed text
Recommended MCP Servers
Journey fit
After launch, solo builders need lightweight text analytics on support tickets, reviews, and community posts without standing up a full NLP pipeline. The analytics subphase covers interpreting qualitative signals; sentiment scoring turns unstructured text into metrics your agent can trend or flag.
How it compares
Pay-per-call sentiment MCP API, not a local Python NLP skill or full customer-analytics suite.
Common Questions / FAQ
Who is Sentiment Analyzer for?
It is for solo builders and agent users who want quick sentiment, emotion, and key-phrase signals on text during growth and feedback review.
When should I use Sentiment Analyzer?
Use it when you are analyzing reviews, support transcripts, or campaign copy and need confidence-scored sentiment inside your agent session.
How do I add Sentiment Analyzer to my agent?
Connect https://sentiment-analyzer.api.klymax402.com/mcp as an SSE remote MCP server and configure x402 USDC payments following the sentiment-analyzer-x402 repository.