update README and app.py for MCP 1st Birthday submission details and features

README.md

@@ -9,12 +9,16 @@ app_file: app.py
 pinned: false
 license: mit
 short_description: An agent that extracts data lineage, pipeline dependencies
+tags:
+  - MCP-1st-Birthday
 ---
 
-# Lineage Graph Accelerator 🔥
+# Lineage Graph Accelerator 🔥 #MCP-1st-Birthday
 
 A Gradio-based agent that extracts, summarizes, and visualizes data lineage from multiple metadata sources (BigQuery, dbt, Airflow, APIs, and more). Designed as a small, extendable framework of sub-agents that parse metadata, infer relationships, and render clear graph visualizations for exploration and debugging.
 
+**Prepared as a submission for the MCP 1st Birthday celebration** — see [Hugging Face MCP-1st-Birthday activity](https://huggingface.co/organizations/MCP-1st-Birthday/activity/all).
+
 ## Architecture
 
 This project is organized as a collection of lightweight sub-agents (workers): a metadata parser, a graph visualizer, and optional integration adapters (BigQuery, URL fetcher, dbt, Airflow). The UI (Gradio) orchestrates these components and displays results as Mermaid diagrams.
@@ -53,7 +57,8 @@ flowchart TD
 - Mermaid for graph visualizations (client-side)
 - Langsmith's Agent Builder (used to design and orchestrate the agent/sub-agent structure)
 
-This project was prepared as a submission for the MCP 1st Birthday celebration. See the Hugging Face MCP-1st-Birthday activity for context: https://huggingface.co/organizations/MCP-1st-Birthday/activity/all
+This project was prepared as a submission for the [MCP 1st Birthday celebration](https://huggingface.co/organizations/MCP-1st-Birthday/activity/all).
+
 
 ## Quickstart (local)
 

app.py

@@ -108,16 +108,36 @@ def extract_lineage_from_url(
 # Create Gradio interface
 with gr.Blocks(title="Lineage Graph Extractor", theme=gr.themes.Soft()) as demo:
     gr.Markdown("""
-    # 🔍 Lineage Graph Extractor
+    # 🔍 Lineage Graph Extractor #MCP-1st-Birthday
     
     Extract and visualize data lineage from various metadata sources including BigQuery, dbt, Airflow, 
     APIs, and more. This tool helps you understand complex data relationships through clear graph visualizations.
     
+    ## About
+    
+    This project was prepared as a submission for the **MCP 1st Birthday celebration**. It demonstrates 
+    how modular agent-based architecture (built with **Langsmith's Agent Builder**) can be used to extract 
+    and visualize complex data relationships.
+    
+    ### Features
+    - 🔗 Multi-source metadata ingestion (Text, BigQuery, URLs/APIs)
+    - 🤖 AI-assisted metadata parsing and relationship extraction (pluggable agent backend)
+    - 📊 Mermaid and DOT visualization support (rendered dynamically in the UI)
+    - 🧩 Lightweight, modular code designed for easy extension and testing
+    
+    ### Built With
+    - **Gradio** — Interactive web UI
+    - **Mermaid** — Graph visualization (client-side rendering)
+    - **Langsmith's Agent Builder** — Agent orchestration and sub-agent design
+    - **Python** — Core application logic
+    
     ## Supported Sources
-    - **Text/File Metadata**: Paste metadata directly
+    - **Text/File Metadata**: Paste metadata directly (JSON, YAML, SQL, etc.)
     - **BigQuery**: Query table metadata and relationships
     - **URLs/APIs**: Fetch metadata from web endpoints
     - **dbt, Airflow, Snowflake**: Through MCP integration (when configured)
+    
+    Learn more: [MCP 1st Birthday](https://huggingface.co/organizations/MCP-1st-Birthday/activity/all)
     """)
     # Load Mermaid.js once (hidden). We set startOnLoad=false and will initialize
     # individual diagrams after inserting them into the DOM.