We are thrilled to partner with Algolia, one of our amazing Diamond Sponsors, for an exciting new DEV challenge that explores the cutting edge of AI-powered search.
Running through July 27, the Algolia MCP Server Challenge invites you to explore the intersection of AI and search technology using Algolia's Model Context Protocol (MCP) server. Whether you're focused on enhancing search capabilities or building intelligent user experiences, this challenge offers creative opportunities to innovate with search-powered solutions.
We have one prompt for this challenge, but three opportunities to win!
Our Prompt
Your mandate is to build with the Algolia MCP Server. Focus on building something that showcases the power of Algolia's MCP server in whatever way inspires you most.
If you're someone who appreciates a bit more direction, you can consider our additional prize categories below.
Additional Prize Categories
- Backend Data Optimization: Awarded to a top submission that focuses on backend data enrichment by integrating with other 3rd party AI tools like Claude Desktop, n8n workflows, etc.
- Ultimate User Experience: Awarded to a top submission with a compelling user-facing application that uses the Algolia MCP server to retrieve information to deliver intelligent responses.
Prizes
Our overall prompt winner and additional prize categories winners will each receive:
- $1,000 USD
- DEV++ Membership
- Exclusive DEV Badge
All Participants with a valid submission will receive a completion badge on their DEV profile.
Helpful Resources
We encourage all participants to join the Algolia Discord Server to connect with their team and developers building with Algolia!
- Algolia Developer Docs
- Sample Datasets
- Algolia MCP GitHub repo:
🔍 Algolia Node.js MCP
Quick Start • Features • Usage Examples • Installation • Configuration • Development • Troubleshooting • Contributing • License
algolia-mcp-demo.mp4
This repository contains experimental Model Context Protocol (or MCP) servers for interacting with Algolia APIs. We're sharing it for you to explore and experiment with. Feel free to use it, fork it, or build on top of it — but just know that it's not officially supported by Algolia and isn't covered under our SLA.
We might update it, break it, or remove it entirely at any time. If you customize or configure things here, there's a chance that work could be lost. Also, using MCP in production could affect your Algolia usage.
If you have feedback or ideas (even code!), we'd love to hear it. Just know that we might use it to help improve our products. This project is provided "as is" and "as…
- Things you can do with Algolia MCP:
Important Dates
- July 10: Algolia MCP Server Challenge begins!
- July 27: Submissions due at 11:59 PM PDT
- August 7: Winners Announced
We can't wait to see how you push the boundaries of AI-powered search! Questions about the challenge? Ask them below.
Good luck and happy coding!
Top comments (36)
I've been playing around with the Algolia MCP myself the last few days (on the "Movies" sample data set). I'm really excited to see what the community builds!
Just made my submission using same dataset on Demo:
Self-Documenting MCP: One-Step Algolia Setup via MCP Server in Cursor IDE
Nikoloz Turazashvili (@axrisi) ・ Jul 12
hoping it will have find some real use cases in prod :)
Mzxmfm do
Good luck everyone!
@gokerdev 3k sounds nice 😊 and a good learning opportunity
for me it is more about recognition of the work I've done.
I think that's my driver to see that I've built something actually useful not just for me.
also 3k would not hurt 💸
Haha, surely it's also motivating
exciting
will you make submission? :)
Yes, but currently, I am learning about the challenge.
Good luck 🤞 every one
I've got a brilliant idea on how to use your MCP!
looking forward to see your submission :)
Best wishes to everyone.
hoping my submission will get noticed. Actually enjoyed using Algolia MCP.
Hey everyone. I submitted project for this challenge.
But wanted to ask anyone from Algolia if there is anything they have in mind would be great to create, but didn't have time or resources to create.
So maybe I can work on it.
Successfully set up the MCP server on Windows 10 and connected it to Gemini CLI - absolutely mesmerizing to watch the LLM work with databases!
The way it handles table creation, data management, and index operations is truly virtuosic.
This kind of AI-database integration feels like glimpsing the future of development. Great work on making this accessible!
So excited to see what everyone comes up with. Hit us up on Discord if you have any issues!
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