server.py

import gradio as gr
from textblob import TextBlob

def sentiment_analysis(text: str) -> dict:
    """
    Analyze the sentiment of a given text.
    
    Args:
        text (str): The input text to analyze.

    Returns:
        dict: A dictionary containing the sentiment polarity, subjectivity scores and assessment.
    """
    blob = TextBlob(text)
    sentiment = blob.sentiment
    return {
        "polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
        "subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
    }

# Gradio Interface
sentiment_analyzer = gr.Interface(
    fn=sentiment_analysis,
    inputs=gr.Textbox(placeholder="Enter text to analyze..."),
    outputs=gr.JSON(),
    title="Text Sentiment Analysis",
    description="Analyze the sentiment of a given text using TextBlob.",
)

# Launch the interface and MCP server
if __name__ == "__main__":
    sentiment_analyzer.launch(mcp_server=True)