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MCP Hackathon - build AI-first products

lumaHosted on Luma

Fetched 11 minutes ago

Saturday, July 11, 2026

to Saturday, July 11, 2026

Artificial Intelligence

Event Type

in person

Welcome to the AI-first world and MCPs There is a new main user - AI. There is a search for AI, there is email for AI, there is shopping for AI, there are more and more things made for AI. Despite the buzz, the actual number of products and services for AIs is still very much limited. We want to change that. During this Hackathon we will deep dive into and build on top of the Model Context Protocol (MCP). The framework became a market standard to connect AIs (ChatGPT, Claude, Gemini, ...) to any external systems. Whether you're experimenting with agents that tackle a specific use case, creating tools that make AI genuinely useful, or just curious about what MCP can do, bring your laptop and let's make something cool. ​Schedule 9.30-10.00 The doors open10:15-10:30 Kick-off10:30-13:00 Morning coding13:00-13:45 Lunch13:45-17:00 Evening coding17:00 Presentations of the projects18:00 Awards and closing remarks ​Special Thank You to our Co-Organizers We want to thank Aethos for organizational support of the Hackathon and express our deep alignment with their commitment to ethical and impactful AI. Looking forward to hacking the world,Vlad and Denis, co-founders of ActionSpace AI ActionSpace AI on LinkedIn and X

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct