RRepoGEO

REPOGEO REPORT · LITE

kimsungwhee/apple-docs-mcp

Default branch main · commit 28c06cba · scanned 5/23/2026, 5:27:01 AM

GitHub: 1,274 stars · 50 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 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 kimsungwhee/apple-docs-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
  • highreadme#1
    Strengthen README's opening to clarify AI assistant integration

    Why:

    CURRENT
    Apple Developer Documentation MCP Server - Access Apple's official developer docs, frameworks, APIs, SwiftUI, UIKit, and WWDC videos through Model Context Protocol. Search iOS, macOS, watchOS, tvOS, and visionOS documentation with AI-powered natural language queries. Get instant access to Swift/Objective-C code examples, API references, and technical guides directly in Claude, Cursor, or any MCP-compatible AI assistant.
    COPY-PASTE FIX
    Apple Docs MCP is a **Model Context Protocol (MCP) server** that provides **direct, AI-powered access to Apple Developer Documentation** for AI coding assistants like Claude, Cursor, and other MCP-compatible platforms. It enables natural language search across iOS, macOS, watchOS, tvOS, and visionOS docs, delivering Swift/Objective-C code examples and API references directly to your AI assistant, differentiating it from generic documentation browsers or low-level embedding tools.
  • mediumtopics#2
    Add more specific AI integration topics

    Why:

    CURRENT
    ai-assistant, api-documentation, apple, apple-developer-docs-mcp, apple-developer-documentation, apple-docs-mcp, apple-documentation, claude, claude-code, cursor, documentation, ios-development, macos-development, mcp, model-context-protocol, objective-c, swift, swift-mcp, swiftui
    COPY-PASTE FIX
    ai-assistant, ai-integration, ai-plugin, api-documentation, apple, apple-developer-docs-mcp, apple-developer-documentation, apple-docs-mcp, apple-documentation, claude, claude-code, cursor, documentation, ios-development, macos-development, mcp, model-context-protocol, objective-c, swift, swift-mcp, swiftui
  • lowreadme#3
    Add a 'Problem Solved' section to README

    Why:

    COPY-PASTE FIX
    ## 💡 Problem Solved

AI coding assistants often struggle to provide accurate, up-to-date, and context-rich information from Apple's vast developer documentation. `apple-docs-mcp` solves this by acting as a dedicated bridge, allowing your AI assistant to directly query and retrieve precise API references, code examples, and technical guides for iOS, macOS, and other Apple platforms, eliminating the need for manual searches across disparate sources.

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 kimsungwhee/apple-docs-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Dash
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Dash · recommended 2×
  2. DocC (Documentation Compiler) · recommended 1×
  3. OpenAI's `text-embedding-ada-002` · recommended 1×
  4. Google's `text-embedding-004` · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How can I integrate Apple developer documentation search with my AI coding assistant?
    you: not recommended
    AI recommended (in order):
    1. DocC (Documentation Compiler)
    2. OpenAI's `text-embedding-ada-002`
    3. Google's `text-embedding-004`
    4. Pinecone
    5. Weaviate
    6. Qdrant
    7. GPT-4
    8. Claude 3 Opus
    9. Dash
    10. Beautiful Soup
    11. Playwright
    12. Algolia DocSearch
    13. Algolia
    14. Google Custom Search Engine (CSE)
    15. Bing Custom Search
    16. Chroma
    17. Gemini 1.5 Pro
    18. LangChain
    19. LlamaIndex

    AI recommended 19 alternatives but never named kimsungwhee/apple-docs-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to quickly find Swift/Objective-C API references and code examples for Apple platforms?
    you: not recommended
    AI recommended (in order):
    1. Xcode Documentation Browser
    2. Apple Developer Documentation
    3. Dash
    4. Stack Overflow
    5. GitHub

    AI recommended 5 alternatives but never named kimsungwhee/apple-docs-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
    pass

  • 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 kimsungwhee/apple-docs-mcp?
    pass
    AI named kimsungwhee/apple-docs-mcp explicitly

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

  • If a team adopts kimsungwhee/apple-docs-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kimsungwhee/apple-docs-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 kimsungwhee/apple-docs-mcp solve, and who is the primary audience?
    pass
    AI did not name kimsungwhee/apple-docs-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?

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kimsungwhee/apple-docs-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