RRepoGEO

REPOGEO REPORT · LITE

neiltron/apple-health-mcp

Default branch main · commit 947ccfa4 · scanned 6/6/2026, 8:11:47 AM

GitHub: 546 stars · 21 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface neiltron/apple-health-mcp, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    apple-health, health-data, natural-language-processing, sql, duckdb, mcp-server, data-analysis, personal-health
  • highreadme#2
    Strengthen the README's opening sentence to clarify its unique purpose

    Why:

    CURRENT
    An MCP (Model Context Protocol) server for querying Apple Health data using SQL. Built with DuckDB for fast, efficient health data analysis.
    COPY-PASTE FIX
    An advanced MCP (Model Context Protocol) server designed for sophisticated querying and analysis of Apple Health data using natural language and SQL, powered by DuckDB. Unlike simple export tools, this project provides a powerful backend for deep insights and automated reporting.
  • highlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root containing the text of the MIT License, as suggested by the badge in the README.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface neiltron/apple-health-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
QS Access
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. QS Access · recommended 2×
  2. Health Auto Export · recommended 2×
  3. Google Sheets · recommended 2×
  4. Microsoft Excel · recommended 2×
  5. DB Browser for SQLite · recommended 1×
  • CATEGORY QUERY
    How to analyze my Apple Health data using SQL queries or natural language?
    you: not recommended
    AI recommended (in order):
    1. QS Access
    2. DB Browser for SQLite
    3. DBeaver
    4. sqlite3
    5. Health Auto Export
    6. Google Sheets
    7. Microsoft Excel
    8. Apple Numbers
    9. SQLite
    10. PostgreSQL
    11. Apple Health Export
    12. ChatGPT
    13. Google Gemini
    14. Python
    15. pandas
    16. pandasql

    AI recommended 16 alternatives but never named neiltron/apple-health-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for generating automated reports from Apple Health data exports?
    you: not recommended
    AI recommended (in order):
    1. Health Auto Export
    2. QS Access
    3. Microsoft Excel
    4. Google Sheets
    5. GitHub
    6. Pandas
    7. Matplotlib
    8. Gyroscope
    9. Exist.io

    AI recommended 9 alternatives but never named neiltron/apple-health-mcp. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of neiltron/apple-health-mcp?
    pass
    AI did not name neiltron/apple-health-mcp — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts neiltron/apple-health-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named neiltron/apple-health-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo neiltron/apple-health-mcp solve, and who is the primary audience?
    pass
    AI named neiltron/apple-health-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of neiltron/apple-health-mcp. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/neiltron/apple-health-mcp.svg)](https://repogeo.com/en/r/neiltron/apple-health-mcp)
HTML
<a href="https://repogeo.com/en/r/neiltron/apple-health-mcp"><img src="https://repogeo.com/badge/neiltron/apple-health-mcp.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

neiltron/apple-health-mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite