SERVER

Sentiment Analyzer API

Rank #20680

smithery/axel-belfort/sentiment-analyzer

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.

First listed
Apr 12, 2026
Last publish date
May 16, 2026
OVERVIEW

Sentiment Analyzer API is a Model Context Protocol (MCP) server published by Br0ski777. It ranks #20680 of 58,900 servers tracked on MCP Toplist. Sentiment Analyzer API is listed across 2 registries — Official MCP and Smithery, with 2 tracked versions. It was first listed on Apr 12, 2026 and most recently updated on May 16, 2026.

STANDING
#20,680of 58,900 tracked serversTop 50%

Ranks ahead of 38,220 of 58,900 servers on MCP Toplist.

CONNECT

Use Sentiment Analyzer API

Add Sentiment Analyzer API to any MCP client (Claude, Cursor, VS Code, …) with one of the configs below.

Remote · SSE
{
  "mcpServers": {
    "sentiment-analyzer": {
      "url": "https://sentiment-analyzer.api.klymax402.com/mcp"
    }
  }
}
REGISTRIES

Listed on 2 registries

ORGANIZATION

Br0ski777

Organization
Total servers
101
Total versions
253
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VERSIONS

Available versions (2)

VersionPublished
1.1.0May 16, 2026
1.0.0Apr 12, 2026
FAQ

Frequently asked questions

What is Sentiment Analyzer API?
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.
Who maintains Sentiment Analyzer API?
Sentiment Analyzer API is maintained by Br0ski777, which publishes 101 MCP servers (253 total versions) tracked on MCP Toplist.
Is Sentiment Analyzer API listed on the official MCP registry?
Yes — Sentiment Analyzer API is listed on the Official MCP Registry, alongside Smithery.
How many versions does Sentiment Analyzer API have?
MCP Toplist tracks 2 versions of Sentiment Analyzer API, most recently published on May 16, 2026.
Where can I find the source code for Sentiment Analyzer API?
The source code for Sentiment Analyzer API is hosted at github.com/Br0ski777/sentiment-analyzer-x402.
EXPLORE
Sentiment Analyzer API - MCP Server #20680 | MCP Toplist