headline vibes
Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.
Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.
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.
Clone the repository:
git clone https://github.com/fred-em/headline-vibes.git
cd headline-vibes
Install dependencies:
npm install
Build the server:
npm run build
Configure your NewsAPI key in your MCP settings file:
{
"mcpServers": {
"headline-vibes": {
"command": "node",
"args": ["/path/to/headline-vibes/build/index.mjs"],
"env": {
"NEWS_API_KEY": "your-api-key-here"
},
"disabled": false,
"autoApprove": []
}
}
}
Analyze sentiment using natural language date input or specific dates.
Example usage:
// Using natural language
{
"name": "analyze_headlines",
"arguments": {
"input": "yesterday"
}
}
// Or using specific dates
{
"name": "analyze_headlines",
"arguments": {
"input": "2025-02-11"
}
}
Input examples: - "last Friday" - "3 days ago" - "March 10th" - "two weeks ago" - "2025-02-11" (YYYY-MM-DD format also supported)
The tool returns results in the following format:
{
"score": "6.50", // Normalized sentiment score (0-10)
"synopsis": "Overall positive sentiment in today's headlines",
"headlines_analyzed": 100, // Number of headlines analyzed
"sources_analyzed": 12, // Number of unique sources
"source_distribution": { // Distribution of headlines by source
"Reuters": 10,
"Associated Press": 8,
"CNN": 9,
// ... etc
},
"sample_headlines": [ // Up to 5 sample headlines
"Example headline 1",
"Example headline 2",
// ... etc
]
}
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
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
To run the server in watch mode during development:
npm run watch
MIT