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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

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

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

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Model Context Protocol creator refines marketing to reach metrologists

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · kyb8801 ·

    I Did Not Write New Code This Week. I Rewrote Two Paragraphs and Ten Example Queries.

    <h1> I Did Not Write New Code This Week. I Rewrote Two Paragraphs and Ten Example Queries. </h1> <p>On Tuesday at 3:19 PM local time I committed the smallest, dumbest, highest-impact change I have made to my Model Context Protocol server since the day I made the repo public.</p> …