csoai-org avatar

Sentiment Analysis Ai Mcp

csoai-org/sentiment-analysis-ai-mcp

This server analyzes sentiment, detects emotions, and compares tones in text. Built by MEOK AI Labs with a focus on EU AI Act compliance, it exposes tools for extracting emotional tone and sentiment polarity from written content. You'd reach for this when building conversational AI that needs to respond appropriately to user mood, content moderation systems that flag negative sentiment, or analytics dashboards tracking customer feedback tone. The compliance features include bias detection and transparency mechanisms baked in, which matters if you're deploying in regulated environments. Installation works via pip or Smithery, and it's part of a larger MEOK ecosystem of governance focused MCP servers.

tools
3
transport
STDIO
last updated
Aug 19, 2026

Tools

3 tools

Public tool metadata for what this MCP can expose to an agent.

analyze_sentiment

No parameter schema in public metadata yet.

batch_analyze

No parameter schema in public metadata yet.

compare_sentiments

No parameter schema in public metadata yet.

Sponsors

Readme

MCP Scorecard: 86/100

Sentiment Analysis Ai MCP

MEOK AI Labs GSPC License PyPI

Analyse text sentiment, detect emotions, and compare tones

Analyse text sentiment, detect emotions, and compare tones. By MEOK AI Labs.


🚀 Quick Start

# Install via pip
pip install sentiment_analysis_ai_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install sentiment-analysis-ai-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

📖 Documentation


View the full README on GitHub

Details

Repository
github.com/csoai-org/sentiment-analysis-ai-mcp
Package
sentiment-analysis-ai-mcp
Transport
STDIO
Registry
MCP registry, active

More from csoai-org