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