I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

标题剧
MCP服务器 - 获取热检查头条新闻
1
Github Watches
5
Github Forks
4
Github Stars
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:
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": []
}
}
}
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
相关推荐
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
This GPT assists in finding a top-rated business CPA - local or virtual. We account for their qualifications, experience, testimonials and reviews. Business operators provide a short description of your business, services wanted, and city or state.
Confidential guide on numerology and astrology, based of GG33 Public information
Take an adjectivised noun, and create images making it progressively more adjective!
Reviews

user_FvG071yB
As a dedicated user of MCP applications, I highly recommend the Serveur MCP Airbnb from MCP-Mirror. It seamlessly integrates Airbnb services, enhancing management efficiency and simplifying hosting tasks. The user-friendly interface and reliable performance make it an essential tool for any Airbnb host. Be sure to check it out!