Summary
Nate Herk introduces Printing Press, an open-source CLI factory and pre-built CLI library designed to make AI agents like Claude Code interact with external services far more efficiently than MCPs or raw APIs allow. The central insight: most platforms agents need to access have no public API, and even when MCPs exist, they consume tokens on every session whether invoked or not. CLIs are local, fast, and return compact outputs — meaning the agent processes a summary rather than a raw JSON payload.
Herk demonstrates building a custom Skool community CLI in roughly 10 minutes using Claude Code, then using it to retrieve and filter community posts. The underlying data transfer involved 132,000 tokens of content, but only 2,000 tokens entered Claude’s actual context window — a practical illustration of the efficiency argument. Printing Press ships with around 50 pre-built CLIs covering services like ESPN, GitHub, and Craigslist, and a factory mode that allows users to build custom CLIs for any service, including those with anti-scraping protections (handled via a real Chrome session). The toolchain is built in Go, a free Google-maintained language that Claude Code can install automatically.
The video also provides a clear conceptual comparison of APIs, MCPs, and CLIs for agentic use cases — useful for any developer building Claude Code workflows that need to reach beyond officially supported integrations. For teams running token-intensive agentic pipelines, the context efficiency gains demonstrated here are practically significant.
📺 Source: Nate Herk | AI Automation · Published May 09, 2026
🏷️ Format: Hands On Build
