Stophy

Stophy is a YouTube data API designed specifically for AI agents and LLM pipelines rather than for traditional app developers. The official YouTube Data API is famously painful to work with for AI use cases: quota limits, no transcript endpoint, comments that arrive in unstructured chunks, and response shapes that need heavy post-processing before a model can reason over them. Stophy collapses that workflow into a single clean interface that returns structured JSON ready for agent consumption — search results, video metadata, timestamped transcripts, comments, and channel data, all in formats that drop directly into a RAG pipeline, summarizer, or research agent. First-class MCP server support means any MCP-aware client (Claude Desktop, Cursor, custom agents) can call YouTube as a tool without writing glue code, and a CLI handles ad-hoc scripting and batch jobs. Pricing is pay-as-you-go with credits that never expire, which is a meaningful difference for indie builders and weekend agent projects that don't want a monthly subscription burning while they're not actively using the API. For anyone building YouTube-aware agents, transcript-based research tools, or video knowledge bases, Stophy removes most of the plumbing between YouTube and an LLM.