Gotobeat
A live music ticketing platform gained AI agents, an MCP server and automated reporting, from one full-stack team.
Free 30-minute call. You leave with a written summary of the approach and a sensible first step. No deck, no pitch.
Stack
- Remix
- TypeScript
- AWS
- MCP
The starting point
A live music ticketing platform built on Remix and AWS needed product work and new AI capabilities from the same team: agents that act on the platform's data, an MCP server so AI clients could reach the platform through typed tools instead of one-off integrations, and reporting that ran on its own instead of being assembled by hand each week.
What we built
01
Full-stack TypeScript
Product features built end to end in Remix and TypeScript on AWS, by the same engineers who built the AI layer, so nothing fell between a frontend vendor and a backend vendor.
02
AI agents and an MCP server
AI agents working on the platform's data, and an MCP server that exposes the actions the platform already had as typed tools with their own scopes, for any MCP-capable client.
03
Automated reporting pipelines
Reporting that runs as scheduled pipelines over the same data model, so the numbers arrive on their own instead of being exported and assembled by hand.
What it came to
A ticketing platform with AI agents, an MCP server and automated reporting pipelines, built in full-stack TypeScript on Remix and AWS by one team. Hours and rating are not published for this engagement.
Running a product that needs AI capabilities and the full-stack work around them from one team? Book a free architecture call and we will map which actions belong in an MCP server and which in a pipeline.
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