Headline Vibes Analysis MCP Server
MCP Server - get a heat check headlines
What is Headline Vibes Analysis MCP Server?
what is Headline Vibes? Headline Vibes is a Model Context Protocol server that analyzes sentiment in news headlines from major US publications, providing insights into the overall sentiment of news coverage. how to use Headline Vibes? To use Headline Vibes, clone the repository, install the dependencies, build the server, and configure your NewsAPI key. You can then analyze headlines using natural language date input or specific dates. key features of Headline Vibes? Analyzes up to 100 headlines per request Sentiment scoring on a 0-10 scale (0 = most negative, 10 = most positive) Natural language date parsing for easier input Detailed source distribution information Sample headlines included in results use cases of Headline Vibes? Analyzing sentiment trends in news over time Comparing sentiment across different news sources Understanding public sentiment on specific events or topics FAQ from Headline Vibes? What is the maximum number of headlines that can be analyzed at once? Up to 100 headlines can be analyzed per request. Do I need an API key to use Headline Vibes? Yes, you need a NewsAPI key to access the news headlines. How does the sentiment scoring work? The sentiment is scored on a scale from 0 to 10, where 0 indicates the most negative sentiment and 10 indicates the most positive.
As an MCP (Model Context Protocol) server, Headline Vibes Analysis MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Headline Vibes Analysis MCP Server
To use Headline Vibes, clone the repository, install the dependencies, build the server, and configure your NewsAPI key. You can then analyze headlines using natural language date input or specific dates. key features of Headline Vibes? Analyzes up to 100 headlines per request Sentiment scoring on a 0-10 scale (0 = most negative, 10 = most positive) Natural language date parsing for easier input Detailed source distribution information Sample headlines included in results use cases of Headline Vibes? Analyzing sentiment trends in news over time Comparing sentiment across different news sources Understanding public sentiment on specific events or topics FAQ from Headline Vibes? What is the maximum number of headlines that can be analyzed at once? Up to 100 headlines can be analyzed per request. Do I need an API key to use Headline Vibes? Yes, you need a NewsAPI key to access the news headlines. How does the sentiment scoring work? The sentiment is scored on a scale from 0 to 10, where 0 indicates the most negative sentiment and 10 indicates the most positive.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Headline Vibes Analysis MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Headline Vibes Analysis MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.