talk-data.com

A practical, builder-first meetup focused on MCP integrations with Neo4j to enable context-aware AI. Live demos are welcome and content should be concise and technically grounded.

Date & Time: December 9, 2025 from 7:00pm - 10:00pm

• Technical Session: Neo4j
• Lightning Talks: Breakthrough Use Cases of MCP in Action

Propose a Talk: Submit Your Talk Proposal via the form. The form requests a concise 5 minute talk or demo illustrating MCP integrations with context-aware AI, and/ or graph-powered workflows.

Sponsors

Neo4j - Neo4j is a leading graph database platform that empowers AI developers to harness the power of connected data. Their technology enables efficient storage\, analysis\, and visualization of complex data relationships\, integrating seamlessly with popular AI and machine learning tools. Neo4j’s features\, including native graph storage and advanced algorithms\, make it ideal for powering AI applications like knowledge graphs and recommendation systems\, helping developers extract deeper insights from their data.

• Testimonials:

“I thought that having participants tell us about their project during last week's hackathon was really great. A super ice breaker, allowed the shy ones to express themselves. Also was a discussion opener to approach them with interest. Really great idea.”

— MLOps lead

goose is an open source AI agent framework that allows anyone to connect language model output to real world action. Released in January by Block (the company made up of Square, Cash App, Afterpay, and TIDAL), its use cases range from vibe coding to connecting all of the internal apps and services an enterprise uses. It can be powered by any language model that has tool calling capabilities.goose's modular design allows it to connect with any system through simple extensions. Built on the open Model Context Protocol (developed with Anthropic), goose transforms natural language into actions across various tools and services. Whether integrating with platforms like Jira and GitHub, or executing system commands and scripts, its plug-and-play architecture means anyone can extend Goose's capabilities to suit their needs.Finally, goose has both a command line interface and desktop app — it isn't limited to an IDE to start connecting to MCP servers and building powerful agentic workflows.