headline-vibes
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A Model Context Protocol server that analyzes sentiment in news headlines from major US publications.
The Headline Vibes Analysis MCP Server is designed to analyze sentiment in news headlines from major US publications. It offers a user-friendly interface with both standard date-based and natural language date parsing capabilities. The server can process up to 100 headlines per request, ensuring an even distribution across various news sources. Sentiment is scored on a scale from 0 to 10, with 0 being the most negative and 10 the most positive. The server also provides detailed source distribution information and includes sample headlines in the results. It requires Node.js v16 or higher and a NewsAPI key for operation.
Features
- Analyzes up to 100 headlines per request
- Even distribution of headlines across major US news sources
- Sentiment scoring on a 0-10 scale (0 = most negative, 10 = most positive)
- Natural language date parsing (e.g., 'yesterday', 'last Friday')
- Detailed source distribution information
Tools
analyze_headlines
Analyze sentiment using natural language date input or specific dates.
