LinkedIn Post - Lineage Graph Accelerator #MCP-1st-Birthday
Post Text (Ready to Share)
Excited to share Lineage Graph Accelerator 🔥 — an AI-powered agent I've built as a submission for the #MCP-1st-Birthday celebration!
🎯 What it does: Extract and visualize complex data lineage from multiple sources (BigQuery, dbt, Airflow, APIs) in seconds. Transform metadata into clear, interactive Mermaid diagrams that help teams understand data relationships and dependencies.
🏗️ Architecture Highlights:
- Modular agent-based design with sub-agents for parsing, visualization, and integrations
- Built with Langsmith's Agent Builder for flexible orchestration
- Gradio UI for interactive exploration
- Client-side Mermaid rendering for instant visual feedback
✨ Key Features:
- Multi-source metadata ingestion (Text, BigQuery, URLs/APIs)
- AI-assisted relationship extraction
- Dynamic graph visualization (Mermaid + DOT support)
- Lightweight, extensible, and fully tested
📦 Try it now: Live demo available on Hugging Face Spaces (link in comments)
This project showcases how modular AI agents can tackle real-world data challenges. Special thanks to @Langsmith, @Gradio, and the @HuggingFace teams for the amazing tools!
🔗 Learn more: Check out the repo for quickstart guide, unit tests, and integration examples.
Hashtags & Tags
Primary Tags (LinkedIn):
#MCP-1st-Birthday #MCP #ModelContextProtocol
Technology Tags:
#Gradio #HuggingFace #LangSmith #DataLineage #DataEngineering #AI #Agents #Python
Topic Tags:
#DataViz #MetadataManagement #BigQuery #dbt #Airflow #DataGovernance
Community Tags:
#OpenSource #Developers #TechInnovation
Social Media Context
For LinkedIn Comment (link to live demo): "Live demo: [Hugging Face Spaces URL]"
For GitHub/Repo Share: "Open source project ready for contributions! Check the README for setup, testing, and integration guides. 🚀"
For Twitter/X (condensed version): "Just released Lineage Graph Accelerator 🔥—an AI-powered agent for visualizing data lineage across BigQuery, dbt, Airflow & more. Built with Langsmith + Gradio. Submitted for #MCP-1st-Birthday 🎉 #DataEngineering #OpenSource"
Suggested Mentions (Tag in comments or separate posts):
- @LangSmith / @LangChain (for Agent Builder inspiration)
- @Gradio (for the UI framework)
- @Hugging Face (for Spaces hosting)
- @MCP-1st-Birthday (Hugging Face organization)
- @dbt-labs (if integrating dbt features)
- @BigQuery team (for metadata integration)
Optional Follow-up Post (48 hours later):
"Week 1 update on Lineage Graph Accelerator 🔥:
- Deployed to Hugging Face Spaces
- Full test coverage + CI/CD ready
- Community feedback & PRs
- dbt integration alpha
- Snowflake connector
Open source projects thrive on collaboration—if you're interested in data lineage, metadata management, or AI agents, I'd love your input! 👇"
Tips for Sharing:
✅ Do:
- Add a screenshot of the Mermaid diagram in action
- Link to the GitHub repo and live demo
- Tag the relevant teams/organizations
- Use 2-3 relevant hashtags per line (LinkedIn limit)
- Post during peak hours (8-10 AM, 12-1 PM, 5-6 PM on weekdays)
⚠️ Avoid:
- Overly technical jargon without explanation
- Too many hashtags (stick to 15-20 max)
- Posting at midnight (low engagement)
- Neglecting to engage with comments in first 2 hours
Questions? Feel free to customize this post with your personal voice and experiences!