plan.md outlines goals for this hackathon

app.py

@@ -1,7 +1,14 @@
 import gradio as gr
 
 def greet(name):
-    return "Hello " + name + "!!"
+    return "Hello " + name + "!"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+iface = gr.Interface(
+    fn=greet,
+    inputs=gr.Textbox(label="Input"),
+    outputs=gr.Textbox(label="Output"),
+    mcp_server=True
+)
+
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=7860)

hf-mcp-hackathon/app.py

@@ -0,0 +1,37 @@
+import gradio as gr
+
+def analyze_text(text: str) -> dict:
+    """Analyze text and return various statistics.
+    
+    Args:
+        text: The text to analyze
+        
+    Returns:
+        A dictionary containing text statistics like word count, character count, etc.
+    """
+    stats = {
+        "word_count": len(text.split()),
+        "character_count": len(text),
+        "line_count": len(text.splitlines()) or 1,
+        "uppercase_count": sum(1 for c in text if c.isupper()),
+        "lowercase_count": sum(1 for c in text if c.islower()),
+        "digit_count": sum(1 for c in text if c.isdigit())
+    }
+    return stats
+
+# Create the Gradio interface
+demo = gr.Interface(
+    fn=analyze_text,
+    inputs=gr.Textbox(label="Input Text", placeholder="Enter some text to analyze..."),
+    outputs=gr.JSON(label="Text Statistics"),
+    title="Text Analysis Tool",
+    description="A simple tool that provides various statistics about input text.",
+    examples=[
+        ["Hello World! This is a test message 123."],
+        ["The quick brown fox jumps over the lazy dog."]
+    ]
+)
+
+if __name__ == "__main__":
+    # Launch with MCP server enabled
+    demo.launch(mcp_server=True) 

hf-mcp-hackathon/plan.md

@@ -0,0 +1,18 @@
+- [x] Join the Agents-MCP-Hackathon organization on Hugging Face.
+- [x] Complete the registration form before June 8 2025 11:59 PM UTC
+- [x] (MCP track selected)Decide on one of three tracks: MCP Server/Tool, Custom Component, or Agentic Demo.
+- [x] (https://huggingface.co/blog/gradio-mcp) Download or clone the relevant starter template (MCP server boilerplate, custom component template, or basic agent demo).
+- [ ] Review the "Getting Started with MCP with Gradio" and "Gradio Component Development Guide" documentation.
+- [ ] Set up a local development environment with Python, Gradio 5, and any required SDKs (OpenAI, Anthropic, etc.) using provided API credits.
+- [ ] Implement the required features:
+  - [ ] For Track 1, build a Gradio app that functions as an MCP server and test with an MCP client.
+  - [ ] For Track 2, create a custom Gradio component, publish it with gradio cc publish, and verify functionality.
+  - [ ] For Track 3, develop a Gradio app showcasing agentic behavior or integrations.
+- [ ] Create a Space in Hugging Face for your project.
+- [ ] Populate the Space's README.md with the mandatory track tag (mcp-server-track, custom-component-track, or agent-demo-track).
+- [ ] Record a demonstration video of your app or component in action; host it on YouTube or similar.
+- [ ] Insert the link to the demonstration video in README.md.
+- [ ] Push all code and documentation to your Space before June 8 2025 11:59 PM UTC.
+- [ ] Verify that your Space runs properly online; confirm video link accessibility.
+- [ ] Monitor Discord and office hours for troubleshooting; resolve any issues immediately.
+- [ ] Submit the final Space entry; ensure compliance with hackathon policies and original work requirements.