Model Context Protocol creator refines marketing to reach metrologists

The creator of the Model Context Protocol (MCP) server, a tool for calculating measurement uncertainty, found that their product was not gaining traction despite solid technical work. After a week with zero GitHub stars or NPM downloads, they realized their marketing was the issue. By rewriting two paragraphs in the README and refining example queries, they aimed to better target the actual users: metrologists and calibration lab professionals, rather than solely AI engineers. AI

影响 Refocuses marketing efforts for a niche AI-adjacent tool to better reach its intended professional audience.

排序理由 The article discusses a personal reflection on marketing strategy for a niche software product, rather than a new release or significant industry event.

在 dev.to — MCP tag 阅读 →

• AI engineers
• measurement uncertainty
• metrologists
• Model Context Protocol

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