The Headline Vibes Analysis MCP Server analyzes sentiment in news headlines from major US publications.
- Analyze Sentiment: Evaluates up to 100 headlines per request on a scale of 0 (most negative) to 10 (most positive).
- Date Flexibility: Supports both natural language date input (e.g., "yesterday", "last Friday") and specific date formats (e.g., "2025-02-11").
- Source Diversity: Pulls headlines from major US news sources like Reuters, CNN, Associated Press, and Wall Street Journal.
- Detailed Results: Provides sentiment score, synopsis, number of headlines analyzed, source distribution, and up to 5 sample headlines.
- Error Handling: Includes clear error messages for issues like invalid dates or API errors.
- Development Support: Offers watch mode for real-time server testing during development.
Headline Vibes Analysis MCP Server
A Model Context Protocol server that analyzes sentiment in news headlines from major US publications. The server provides both a standard date-based interface and natural language date parsing for easier use.
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
- Sample headlines included in results
Prerequisites
- Node.js v16 or higher
- NewsAPI key (get one at https://newsapi.org)
Installation
- Clone the repository:
- Install dependencies:
- Build the server:
- Configure your NewsAPI key in your MCP settings file:
Available Tools
analyze_headlines
Analyze sentiment using natural language date input or specific dates.
Example usage:
Input examples:
- "last Friday"
- "3 days ago"
- "March 10th"
- "two weeks ago"
- "2025-02-11" (YYYY-MM-DD format also supported)
Response Format
The tool returns results in the following format:
News Sources
The server pulls headlines from major US news sources including:
- Associated Press
- Reuters
- CNN
- Fox News
- NBC News
- ABC News
- Wall Street Journal
- Washington Post
- USA Today
- Bloomberg
- Business Insider
- Time
Error Handling
The server provides clear error messages for common issues:
- Invalid date formats
- Unparseable natural language queries
- No headlines found for the specified date
- API errors from NewsAPI
Development
To run the server in watch mode during development:
License
MIT
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Tools
Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.
- Features
- Prerequisites
- Installation
- Available Tools
- Response Format
- News Sources
- Error Handling
- Development
- License
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