I'm 15 and based in Kazakhstan. Started coding seriously about a year ago. I kept running into the same problem building ML pipelines with agents: the reasoning layer worked fine, but every time the agent needed data, everything stopped. Someone had to manually search HuggingFace, figure out which dataset was useful, download it, clean it, validate quality, export it. The agent couldn't do any of it. That felt wrong. So I built Vesper - an MCP server that gives AI agents the full dataset pipeline. Search across sources, download, quality analysis, cleaning, and export. The agent calls it like any other tool. Try it: npx vesper-wizard@latest or getvesper.dev - brutal feedback welcome.