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5/10/2026
Inside the Pipeline Powering a Korean Entertainment MCP Server

Inside the Pipeline Powering a Korean Entertainment MCP Server

Short summary

Engineer details building a data pipeline aggregating Korean entertainment data from 10+ sources (APIs, web scrapers) into queryable Supabase PostgreSQL. Orchestrated with Prefect for retries and caching, scheduled via free GitHub Actions (2000 min/month). Covers architectural decisions: separate tables, indexed queries, PostgreSQL NULL-handling gotchas, and cost optimization for pre-revenue.

  • •Unified Korean entertainment data from 10 independent sources into single Supabase PostgreSQL database
  • •Used Prefect for orchestration with retry logic and GitHub Actions for free scheduling within 2000-minute monthly limit
  • •Documented schema design decisions including separate movie/TV tables, indexed streaming availability, and partial unique indexes for NULL handling

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