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MCP Server

Headline Vibes Analysis MCP Server

Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.

6
GitHub Stars
8/23/2025
Last Updated
MCP Server Configuration
1{
2 "name": "headline-vibes",
3 "command": "node",
4 "args": [
5 "/path/to/headline-vibes/build/index.mjs"
6 ],
7 "env": {
8 "NEWS_API_KEY": "your-api-key-here"
9 },
10 "disabled": false,
11 "autoApprove": []
12}
JSON12 lines

README Documentation

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

Installation

  1. Clone the repository:
git clone https://github.com/fred-em/headline-vibes.git
cd headline-vibes
  1. Install dependencies:
npm install
  1. Build the server:
npm run build
  1. 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": []
    }
  }
}

Available Tools

analyze_headlines

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)

Response Format

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
  ]
}

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:

npm run watch

License

MIT

Quick Install

Quick Actions

Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source