First MCP server

.gitignore

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+.venv
+__pycache__/
+

app.py

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+import gradio as gr
+from textblob import TextBlob
+
+def sentiment_analysis(text):
+    """
+    Perform sentiment analysis on the input text.
+
+    Args:
+        text (str): The input text to analyze.
+
+    Returns:
+        dict: A dictionary containing the polarity and subjectivity, and the sentiment classification.
+    """
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+    results = {
+        "Polarity": sentiment.polarity,
+        "Subjectivity": sentiment.subjectivity,
+        "Sentiment": "Positive" if sentiment.polarity > 0 else "Negative" if sentiment.polarity < 0 else "Neutral"
+    }
+    return results
+
+demo = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text to analyze"),
+    outputs=[
+        gr.JSON(label="Sentiment Analysis Results"),
+    ],
+    title="Sentiment Analysis",
+    description="Analyze the sentiment of the input text using TextBlob."
+)
+
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

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+gradio[mcp]~=5.31.0
+textblob~=0.19.0
+