Headline Vibes Analysis MCP Server: Enhancing AI Application Integration with Sentiment Analysis

Overview: What is Headline Vibes Analysis MCP Server?

The Headline Vibes Analysis MCP Server is a specialized Model Context Protocol (MCP) server designed to analyze sentiment in news headlines from major US publications. This server seamlessly integrates into AI ecosystems, providing developers and AI applications like Claude Desktop, Continue, Cursor, and others with powerful tools to extract insights from headline data. By leveraging natural language date parsing and standardized MCP interfaces, this server offers a rich set of features that enrich the capabilities of AI-driven workflows.

🔧 Core Features & MCP Capabilities

Analyzing Up to 100 Headlines per Request

The Headline Vibes Analysis MCP Server processes up to 100 headlines in each request. This high-capacity design ensures that developers can quickly analyze large volumes of data, providing real-time insights into public sentiment across diverse news sources.

Even Distribution Across Major US News Sources

We ensure an even distribution of headlines from major US publications such as the Associated Press, Reuters, CNN, Fox News, NBC News, ABC News, Wall Street Journal, Washington Post, USA Today, Bloomberg, Business Insider, and Time. This balanced approach guarantees a comprehensive analysis that captures a wide range of perspectives.

Sentiment Scoring on a 0-10 Scale

Sentiment scores are provided on a normalized scale from 0 to 10, where 0 represents the most negative sentiment and 10 indicates the highest positive sentiment. This scoring system allows AI applications to categorize and prioritize headlines based on their perceived emotional tone.

Natural Language Date Parsing

In addition to traditional dates, this server supports natural language date inputs such as "yesterday," "last Friday," or specific dates like "2025-02-11." This flexibility simplifies user queries while maintaining accurate results, enhancing the usability of the service for a wide range of use cases.

Detailed Source Distribution Information

Detailed metadata on the sources of analyzed headlines is included in the response. Developers can easily track and analyze data from various news outlets, providing valuable insights into which sources most influence public opinion.

Sample Headlines Included in Results

To provide context, results include up to five sample headlines along with their associated sentiment scores. This feature allows users to quickly review the diversity of coverage and understand the spectrum of sentiments present.

⚙️ MCP Architecture & Protocol Implementation

The Headline Vibes Analysis MCP Server adheres strictly to Model Context Protocol (MCP) standards, ensuring compatibility across a wide range of AI applications. The protocol flow diagram below illustrates how AI applications can interact with this server:

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

MCP Client Compatibility Matrix

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

This matrix highlights that while tools like the Headline Vibes Analysis MCP Server are fully compatible with most AI resources, certain clients may not support full integration of prompts.

🚀 Getting Started with Installation

Step 1: Clone the Repository

To start using the server, developers must first clone the repository from GitHub:

git clone https://github.com/fred-em/headline-vibes.git
cd headline-vibes

Step 2: Install Dependencies

Next, install all necessary dependencies with:

npm install

Step 3: Build the Server

Build the server and make it ready for use by running:

npm run build

Step 4: Configure NewsAPI Key

Configure your NewsAPI key in the MCP settings file, ensuring secure and proper usage of the service. This step is critical to avoid API rate limits.

{
  "mcpServers": {
    "headline-vibes": {
      "command": "node",
      "args": ["/path/to/headline-vibes/build/index.mjs"],
      "env": {
        "NEWS_API_KEY": "your-api-key-here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

💡 Key Use Cases in AI Workflows

Real-World Workflow Scenario: Market Sentiment Analysis

In this use case, an investment firm uses the Headline Vibes Analysis MCP Server to monitor market sentiment by analyzing financial news headlines. By automating the process of collecting and categorizing relevant information, the firm can make more informed decisions about buying or selling stocks based on public perception.

Technical Implementation: Sentiment Categorization

The AI application sends a request to the Headline Vibes Analysis MCP Server using the analyze_headlines module:

{
  "name": "analyze_headlines",
  "arguments": {
    "input": "2025-02-11"
  }
}

Upon receiving the response, the application categorizes headlines as positive or negative based on their sentiment scores and takes appropriate action.

🔌 Integration with MCP Clients

The Headline Vibes Analysis MCP Server is designed to work seamlessly with various MCP clients. It supports full compatibility with Claude Desktop and Continue, allowing these AI applications to access headline data with ease. However, Cursor integration currently only supports tools but lacks full prompt processing capabilities.

Example Configuration Code Sample

For advanced users who need to customize their setup, here’s a sample configuration:

{
  "mcpServers": {
    "headline-vibes": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-headline-vibes"],
      "env": {
        "NEWS_API_KEY": "your-api-key"
      }
    }
  }
}

This code snippet ensures that when an MCP client queries the server, it retrieves accurate and timely data.

📊 Performance & Compatibility Matrix

The Headline Vibes Analysis MCP Server excels in terms of performance and compatibility. It efficiently handles up to 100 headlines per request while maintaining high accuracy and response times. The server supports a wide range of AI resources and tools, making it an ideal solution for developers looking to integrate sophisticated data analysis into their applications.

🛠️ Advanced Configuration & Security

Customizing the Server

Advanced users can customize the Headline Vibes Analysis MCP Server by adjusting its configuration settings. This includes tweaking date parsing rules or modifying source distribution preferences according to specific needs.

Security Best Practices

To ensure secure usage, developers should take several precautions:

Secure API Key Management: Store your NewsAPI key in a secure environment and avoid hardcoding it directly into the code.
Rate Limiting: Implement rate limiting to prevent abuse of the API endpoint.
Throttling Requests: Ensure that the server can handle occasional spikes without crashing or returning inaccurate data.

Sample MCP Configuration

Here’s an example configuration for added security:

{
  "mcpServers": {
    "headline-vibes": {
      "command": "node",
      "args": ["/path/to/headline-vibes/build/index.mjs"],
      "env": {
        "NEWS_API_KEY": "your-safe-api-key"
      },
      "disabled": false,
      "autoApprove": ["test"]
    }
  }
}

❓ Frequently Asked Questions (FAQ)

Q1: How can I integrate the Headline Vibes Analysis MCP Server with Continue?

To integrate with Continue, ensure that both your configuration and the server environment support full compatibility. Detailed steps are available in the official documentation.

Q2: Can the server handle custom date ranges?

Yes, it supports a wide range of date inputs including natural language queries like "yesterday" or specific dates. Customize these parameters through the API for maximum flexibility.

Q3: Is there any rate limiting in place to prevent excessive use?

The MCP server enforces rate limits to ensure fair usage among multiple clients. These limits can be adjusted based on your needs to prevent overloading the system.

Q4: How secure is the NewsAPI key stored by this server?

Your NewsAPI key is securely managed and not exposed within the server code. Ensure that sensitive data is always protected, especially when handling it in multi-environment setups.

Q5: Are there any performance considerations I should be aware of when using this server?

Performance can vary based on the number of requests made simultaneously. It’s advisable to use a load balancer and monitor API usage patterns to maintain optimal performance.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome! Developers interested in improving or expanding the Headline Vibes Analysis MCP Server should adhere to the following guidelines:

Code Quality: Maintain high standards of code quality and documentation.
Pull Requests: Submit pull requests for new features, improvements, or bug fixes.
Testing: Rigorously test your changes before submitting them.

To contribute, follow these steps:

Fork the repository from GitHub.
Create a new branch for your feature or bug fix.
Make your changes and ensure they pass all tests.
Commit your changes with clear commit messages.
Push your changes to your forked repository.
Submit a pull request to the main project.

🌐 MCP Ecosystem & Resources

Explore the broader MCP ecosystem through resources like:

ModelContextProtocol.org: Official website for MCP protocol details and documentation.
Community Forums: Engage with other developers using similar MCP servers in community forums and discussion boards.

By leveraging the Headline Vibes Analysis MCP Server, AI applications can unlock new levels of functionality and intelligence. Whether you are an experienced developer or just starting out, this server offers robust capabilities to enhance your projects significantly.

Headline Vibes Analysis MCP Server