Screen History MCP Server (newbry.bearblog.dev)

A developer published a small experimental tool that automatically logs work by taking a screenshot every minute, running OCR, storing embeddings in ChromaDB, and exposing the data via an MCP (Model-Connected Provider) server so existing frontends (tested with Claude) can query the history conversationally. The repo and a working demo let you ask natural-language questions about past activity, effectively letting an LLM “rewind” your screen history. A mid-project swap from Python to a Node server was trivial using Cursor prompts, highlighting how prompt-driven development sped iteration. The write-up argues this pattern is significant for AI/ML product design: MCPs let creators outsource UI/interaction complexity to major LLM frontends, shifting effort from building bespoke interfaces to providing useful backend services and data formulations. Practically, that means one reliable frontend client plus many focused backend MCP servers, faster prototyping, and greater reuse of automation (task lists in .md feed Cursor agents to execute workflows). The broader implication is a workflow shift where human engineers become describers and orchestrators of work rather than UI implementers, making context management and task queuing the new bottlenecks.