AI Tinkerers Hackathon Results - GenerationAI Hackathon - MCP Integration for Graph DBs
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GenerationAI Hackathon - MCP Integration for Graph DBs

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Final round winners have been announced. View Results

Results

Final winners and finalists for GenerationAI Hackathon - MCP Integration for Graph DBs

Winners

Final Round
1st Place

Train Guard

Team consisting of SNCF Data Scientist/NLP Engineer and Data Engineer, plus an Analytics Engineer, expert in Python, LLMs, dbt, Airflow, and Streamlit apps.
{{usage of the llm-graph-builder-mcp aligns perfectly with the judging criteria.}}
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Nikita
Yara
Eva Useros
2nd Place

Arkef

Design and validate complex software architectures with spec-driven nodes in a visual graph database - catch architectural flaws before writing code.
"Exceptional combination of GraphRAG, MCP, and AI generation." "Production-ready deployment, developer-friendly UX, and real-time reasoning make this a standout project." "Solo implementation is impressive"
Jean-Michel
3rd Place

Comorbidity Analysis MCP

Team of AI/ML Engineers (Avicenna.AI, TU Wien) and Full Stack Developer focused on production CV, LLMs, RLHF, and Graph ML solutions.
"deployable, context-aware, and developer-friendly..." "with a clear pathway toward real-world impact in clinical decision support." "...it could be a production-grade tool ready for adoption by medical teams."
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Roman
Scott
Mohammed

Prizes Offered

We recognize excellence in GraphRAG and MCP integration!

Neo4j Credits: The top 3 winning teams each receive 1,000 credits.

Scalingo Credits: The overall winning team and the winners of the Scalingo track each receive a €270 coupon code for the PaaS.

Speechmatics Credits: Each winner from each of the winning teams will each receive $200 in Speechmatics credits.

Google Cloud Credits: Each winner will receive $500 in Google Cloud credits, which can be applied to the billing account of their choice. These $500 credits are in addition to the standard $300 trial credits available to new Google Cloud accounts. These combined credits allow the use of Google Cloud resources, but a personal credit card must be linked to the account to activate and utilize the full credit amount. The total amount of credits is limited, as are the quotas (e.g., GPU access).