Announcing MCP Connect - Build and debug Model Context Protocol integrations directly in your browser
community
September 22, 20255 min read
Dan StarnsJason Koo
by 2 authors

MCP Singapore: Graph Databases Meet AI with MCP Integration

Join us for an exciting evening exploring the cutting-edge intersection of graph databases and AI tooling! This Singapore meetup brings together Neo4j experts and the local developer community to dive deep into Model Context Protocol (MCP) integrations.

MCP Singapore: Graph Databases Meet AI with MCP Integration

Join us for an exciting evening exploring the cutting-edge intersection of graph databases and AI tooling! This Singapore meetup brings together Neo4j experts and the local developer community to dive deep into Model Context Protocol (MCP) integrations and the latest trends shaping the graph database landscape.

Event Details

Date: Thursday, 23rd October 2025
Time: 6:00 PM - 9:00 PM GMT+8
Location: Lifelong Learning Institute, Singapore
Food & Refreshments: Provided throughout the event

Featured Speakers

Evaluating Agentic MCP Pipelines

Jason Koo - Neo4j
LinkedIn

Jason Koo

Output quality of AI depend on how well components work together. This talk demonstrates how to evaluate pipelines built on Neo4j MCP servers, using promptfoo for structured evals, and testing multi-agent frameworks like CrewAI and LangGraph using various models and inference providers. We'll explore methods to identify the highest-quality combinations of agents, prompts, and infrastructure for selecting the most efficient pipelines.

Neo4j MCP Server Deep Dive

Dan Starns - Founder & CTO, Rocket Connect
LinkedIn

Dan Starns

Dan will demonstrate the powerful Neo4j MCP (Model Context Protocol) server, showing how graph databases can seamlessly integrate with AI models to provide rich, contextual data access. As a former core contributor to Neo4j and current advocate for graph database adoption, Dan brings deep technical insights into practical AI integration patterns.

Smithery: Building Infrastructure for the Agent Economy

Henry Mao - Co-founder, CEO, Smithery
LinkedIn

Henry Mao

The future of the internet will be dominated by tool calls, not clicks. Henry will share Smithery's vision for accelerating the economy of AI-native services and the infrastructure enabling agents to seamlessly interact with the world. Learn how Smithery's deployment platform provides discovery, zero-setup hosting, and better visibility for MCP servers—transforming them from experimental protocols into production-ready services. Discover how the team is building with urgency ("strike when the iron's hot") to create the marketplace where developers distribute AI tools and agents discover capabilities, and explore what it takes to move fast and own outcomes in the rapidly evolving agent economy.

Agenda

6:00 PM - 6:30 PM: Registration & Networking
6:30 PM - 8:30 PM: Technical Presentations & Q&A
8:30 PM onwards: Open Discussion & Community Mixer

What You'll Learn

  • Evaluating and optimizing agentic AI pipelines
  • Testing multi-agent frameworks (CrewAI, LangGraph)
  • Structured evaluation with promptfoo
  • Neo4j MCP server implementation for AI applications
  • How Smithery is building infrastructure for the agent economy
  • MCP deployment patterns and best practices
  • Latest Neo4j features and performance optimisations
  • Real-world use cases and implementation patterns
  • Graph database architecture best practices
  • How to integrate graph databases with modern AI workflows
  • Methods for selecting optimal agent-prompt-infrastructure combinations

Who Should Attend

  • Graph database developers and architects
  • AI/ML engineers working with knowledge graphs
  • Backend developers interested in connected data
  • Data engineers exploring graph technologies
  • Anyone curious about AI + graph database intersection
  • Developers building context-aware AI applications
  • Engineers interested in AI pipeline evaluation and optimization
  • Entrepreneurs and builders in the AI space

Location

The event will be held at the Lifelong Learning Institute, a premier venue for professional development and continuing education in Singapore.

Address:
11 Eunos Rd 8, Singapore 408601

Event Partners

This meetup is a collaborative effort between:

Join the Community

Connect with Singapore's thriving graph database community! Share experiences, ask questions, and discover innovative solutions with Neo4j and related technologies.

Interested in speaking at future events? We're always looking for community speakers to share their graph database journey!

This event is part of the global Neo4j community meetup series, bringing world-class graph database education to developers everywhere.

Why Graph Databases + AI Matter

The intersection of graph databases and AI represents one of the most exciting frontiers in modern software development. Graph databases excel at capturing complex relationships and providing contextual data that AI models need for accurate, relevant responses. With the emergence of Model Context Protocol, integrating these technologies has never been more straightforward.

Register Now

This is a free event, but registration is required due to limited capacity. Food and refreshments will be provided throughout the evening, and you'll have plenty of opportunities to network with like-minded developers and industry experts.

Don't miss this opportunity to explore the future of AI-powered graph applications with leading experts in the field!

Connect with Us

Follow us for more events and updates:

#Neo4j #GraphDatabases #AI #MCP #Singapore #TechMeetup #Developers #MachineLearning #DataEngineering #SingaporeTech #CrewAI #LangGraph #AIEvaluation #Smithery #AgentEconomy

Contact

For any questions about the event, feel free to reach out to the organizers:

We look forward to seeing you there!

TAGS

MCP SingaporeNeo4j SingaporeGraph DatabasesModel Context ProtocolMCPAI IntegrationDan StarnsJason KooHenry MaoSmitheryLifelong Learning InstituteSingapore techdeveloper meetupAI toolinggraph technologyknowledge graphsdeveloper communityCrewAILangGraphpromptfooAI evaluationagent economy

Connect with us now!