Sentiment Analyzer API MCP Server

Analyze text sentiment, emotions, confidence scores, and key phrases. x402 USDC.

Local serverstdio

What is the Sentiment Analyzer API MCP server?

If you already use Sentiment Analyzer API, the sentiment analyzer api mcp server is the piece that lets your assistant work with it directly. Analyze text sentiment, emotions, confidence scores, and key phrases. x402 USDC.

What the server does

Sentiment analysis with emotion detection, confidence scores, and key phrase extraction. Single or batch mode. Pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • text_analyze_sentiment — POST
  • text_analyze_sentiment_batch — POST

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Sentiment Analyzer API's toolset — text_analyze_sentiment, text_analyze_sentiment_batch — is a fair guide to whether it matches your workflow. It is maintained by Br0ski777; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Sentiment Analyzer API's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
text_analyze_sentimentPOST
text_analyze_sentiment_batchPOST

How to install the Sentiment Analyzer API MCP server

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

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • Use Sentiment Analyzer API to text analyze sentiment.
  • Use Sentiment Analyzer API to text analyze sentiment batch.

Frequently asked questions

It connects Sentiment Analyzer API to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (text_analyze_sentiment, text_analyze_sentiment_batch) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Sentiment Analyzer API directly.