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Developer builds AI coach using Claude, Git, and health trackers

A developer has created a personalized AI coach by integrating Claude with various health and fitness tracking services. The system uses the Model Context Protocol (MCP) to connect Claude to data from Garmin watches, YAZIO for nutrition tracking, and FitDays for body composition. A Git repository serves as the AI's persistent memory, storing its decisions, learnings, and daily logs in Markdown and CSV formats. This setup allows the AI to act as a nutritionist and personal trainer, providing real-time plans and explanations based on the user's actual health data. AI

IMPACT Demonstrates a novel application of LLMs for personalized health and fitness coaching by integrating with existing data sources.

RANK_REASON The item describes a custom application built by an individual developer using existing AI models and services, rather than a new product release from a major AI lab or a significant industry event.

Read on dev.to — MCP tag →

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

Developer builds AI coach using Claude, Git, and health trackers

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12 / 100
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Tool
The item describes a custom application built by an individual developer using existing AI models and services, rather than a new product release from a major AI lab or a significant industry event.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

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

    How I Built an AI Coach: Claude + Garmin, Yazio and FitDays via MCP, with a Git Repo as Memory

    <h2> The starting point </h2> <p>My Garmin watch knows how much I sleep and tracks all my health metrics, Yazio knows what and how much I eat and my FitDays scale knows how much I weigh and (more or less) how much lean mass I have.</p> <p>I had the data but nobody able to read it…