app.py

# import gradio as gr

# def add_numbers(a: float, b: float) -> float:
#     """
#     Adds two numbers together.

#     Args:
#         a: The first number.
#         b: The second number.
#     """
#     return a + b

# # Create a simple interface for our tool
# iface = gr.Interface(
#     fn=add_numbers,
#     inputs=[
#         gr.Number(label="First Number"), 
#         gr.Number(label="Second Number")
#     ],
#     outputs=gr.Number(label="Sum"),
#     title="Addition MCP Server",
#     description="A simple MCP tool that adds two numbers. [1, 2]"
# )

# # Launch the app as an MCP server. This is the most important part.
# if __name__ == "__main__":
#     iface.launch(mcp_server=True)



import gradio as gr
from youtube_transcript_api import YouTubeTranscriptApi

def get_transcript(video_id: str) -> str:
    """
    Fetches the transcript for a given YouTube video ID.

    Args:
        video_id: The unique ID of the YouTube video (e.g., 'dQw4w9WgXcQ').
    """
    try:
        # Fetch the transcript using the library
        transcript_list = YouTubeTranscriptApi.get_transcript(video_id)
        # Combine the list of dictionaries into a single string
        transcript = " ".join([item['text'] for item in transcript_list])
        return transcript
    except Exception as e:
        # Return an error message if the transcript can't be found
        return f"Could not retrieve transcript. Error: {e}"

# Create a simple Gradio interface for our tool
iface = gr.Interface(
    fn=get_transcript,
    inputs=gr.Textbox(label="YouTube Video ID"),
    outputs=gr.Textbox(label="Transcript"),
    title="Transcript MCP Server",
    description="An MCP tool that fetches a YouTube transcript from a video ID. [1, 2]"
)

# Launch the app as an MCP server
if __name__ == "__main__":
    iface.launch(mcp_server=True)