{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-kimsungwhee-apple-docs-mcp","slug":"mcp-kimsungwhee-apple-docs-mcp","name":"apple-docs-mcp","type":"mcp","url":"https://github.com/kimsungwhee/apple-docs-mcp","page_url":"https://unfragile.ai/mcp-kimsungwhee-apple-docs-mcp","categories":["mcp-servers","app-builders"],"tags":["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"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_0","uri":"capability://search.retrieval.natural.language.apple.documentation.search.with.result.ranking","name":"natural-language apple documentation search with result ranking","description":"Executes semantic search queries against Apple's official developer documentation API, returning ranked results with title, summary, and direct documentation links. Implements LRU caching with 10-minute TTL for search results (200 entry limit) to reduce redundant API calls while keeping results fresh for dynamic user queries. Integrates directly with Apple's search infrastructure rather than building a custom index, ensuring compatibility with the latest documentation updates.","intents":["Find UIKit API documentation for a specific class or method without leaving my IDE","Search SwiftUI framework documentation by natural language description","Quickly locate relevant Apple docs when I can't remember exact API names","Get multiple documentation results ranked by relevance in a single query"],"best_for":["iOS/macOS developers using Claude, Cursor, or VS Code as their primary IDE","Teams migrating from web-based Apple documentation lookup to AI-assisted search","Swift/Objective-C developers who want instant documentation without context switching"],"limitations":["Depends on Apple's search API availability and response times — no fallback to local index if API is down","Search results cached for only 10 minutes, so very recent documentation updates may not appear immediately","Cannot search across multiple Apple documentation versions simultaneously","Result ranking determined by Apple's API, not customizable by user preferences"],"requires":["MCP client integration (Claude Desktop, Cursor, VS Code with MCP extension)","Network connectivity to Apple's documentation servers","TypeScript runtime for MCP server execution"],"input_types":["text (natural language query)"],"output_types":["structured JSON with title, summary, URL, relevance score"],"categories":["search-retrieval","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_1","uri":"capability://memory.knowledge.detailed.apple.documentation.content.retrieval.with.json.parsing","name":"detailed apple documentation content retrieval with json parsing","description":"Fetches full documentation content for a specific Apple framework, class, or API by URL or identifier, parsing Apple's JSON API responses to extract structured content including method signatures, parameters, return types, and code examples. Implements 30-minute LRU cache (500 entries) for API documentation to optimize repeated lookups of the same framework while respecting Apple's documentation update cadence. Handles both Swift and Objective-C documentation formats transparently.","intents":["Get complete method signature and parameter documentation for a UIViewController lifecycle method","Retrieve code examples and usage patterns for SwiftUI modifiers","Extract detailed API reference including availability (iOS version requirements) for a framework","Access Objective-C API documentation when working with legacy codebases"],"best_for":["Developers writing code that requires understanding full API surface and parameter details","Teams building code generation tools that need structured API metadata","Developers learning new frameworks and needing comprehensive examples"],"limitations":["Content retrieval latency depends on Apple's API response time — typically 200-500ms per request","Cache invalidation is time-based (30 minutes) rather than event-based, so breaking changes in documentation may not appear immediately","Large documentation pages (e.g., UIView) may return substantial JSON payloads, increasing context window usage in LLMs","No built-in support for documentation diffs or change tracking between versions"],"requires":["MCP client with sufficient context window to handle full documentation content","Network connectivity to Apple's JSON API endpoints","TypeScript runtime for MCP server"],"input_types":["text (framework name, class name, or documentation URL)"],"output_types":["structured JSON with method signatures, parameters, return types, availability info, code examples"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_10","uri":"capability://search.retrieval.year.based.wwdc.video.filtering.and.chronological.browsing","name":"year-based wwdc video filtering and chronological browsing","description":"Organizes WWDC video index by year (2014-2025) enabling developers to filter videos by specific WWDC events or year ranges. Supports queries like 'show me all WWDC 2023 sessions on SwiftUI' or 'find videos from the last 3 years about App Services'. Maintains historical context of how Apple's frameworks and best practices have evolved across WWDC events.","intents":["Find WWDC sessions from a specific year to understand what Apple announced that year","Discover how a framework has evolved by watching WWDC sessions across multiple years","Filter WWDC content to recent years (e.g., last 2 years) to focus on current best practices","Research historical context by looking at older WWDC sessions on a topic"],"best_for":["Developers researching framework evolution and best practices over time","Teams building educational content that needs historical context","Developers wanting to understand what was new in a specific WWDC year"],"limitations":["Year-based filtering is simple range matching — no support for complex temporal queries","WWDC video index is static and manually updated, so new sessions may not appear immediately","No support for filtering by WWDC session track or difficulty level","Cannot correlate WWDC announcements with framework release dates"],"requires":["MCP server with local JSON file access","TypeScript runtime","No external API calls required"],"input_types":["text (year or year range)"],"output_types":["structured JSON array with videos filtered by year"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_11","uri":"capability://automation.workflow.mcp.server.lifecycle.management.and.configuration","name":"mcp server lifecycle management and configuration","description":"Implements MCP server initialization, configuration loading, and graceful shutdown. Handles TypeScript compilation, environment variable loading, and MCP protocol handshake with clients (Claude Desktop, Cursor, VS Code). Manages server state including cache initialization and tool registry setup. Supports configuration via environment variables and config files.","intents":["Deploy apple-docs-mcp as an MCP server in Claude Desktop or Cursor","Configure which Apple documentation sources to enable/disable","Monitor server health and cache statistics","Restart the server with updated configuration without losing state"],"best_for":["DevOps engineers deploying apple-docs-mcp in production environments","Individual developers setting up apple-docs-mcp locally in their IDE","Teams managing multiple MCP servers and needing standardized deployment"],"limitations":["Configuration is static at startup — cannot reload configuration without restarting the server","Cache is lost on server restart, so frequently accessed documentation must be re-fetched","No built-in monitoring or alerting for server health or API failures","Server process is single-threaded (Node.js event loop), so high concurrency may cause latency"],"requires":["Node.js 18+ runtime","TypeScript compiler (tsc) or pre-compiled JavaScript","Environment variables for API configuration (if needed)","MCP client that supports server startup (Claude Desktop, Cursor, etc.)"],"input_types":["environment variables, configuration files"],"output_types":["MCP server process, logs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_12","uri":"capability://data.processing.analysis.apple.api.documentation.schema.introspection.and.parameter.validation","name":"apple api documentation schema introspection and parameter validation","description":"Retrieves and caches method signatures, parameter types, return types, and availability information from Apple's documentation API. Enables AI assistants to understand the exact signature of an API before generating code that uses it. Validates parameter types and counts to catch potential errors early.","intents":["Understand the exact signature of a UIViewController method before generating code","Check parameter types and return types for a SwiftUI modifier","Validate that generated code passes the correct number and types of parameters","Get availability information (minimum iOS version) for an API before using it"],"best_for":["Code generation tools that need to emit type-safe API calls","AI assistants generating Swift/Objective-C code and needing to validate signatures","Developers learning API signatures and wanting accurate information"],"limitations":["Schema introspection is limited to what Apple's documentation API exposes — some runtime behavior may not be captured","Parameter validation is static and cannot detect runtime type mismatches","No support for generic types or complex type hierarchies","Cached schema may be stale if Apple updates API signatures"],"requires":["MCP client integration","Network connectivity to Apple's documentation API","TypeScript runtime"],"input_types":["text (method name, class name)"],"output_types":["structured JSON with method signature, parameter types, return type, availability"],"categories":["data-processing-analysis","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_13","uri":"capability://planning.reasoning.context.aware.documentation.recommendation.based.on.user.intent","name":"context-aware documentation recommendation based on user intent","description":"Analyzes user queries to infer intent and recommend relevant documentation, frameworks, or WWDC videos. Uses keyword matching and topic correlation to suggest related documentation that may be useful. For example, a query about 'state management' might recommend SwiftUI documentation, Combine framework docs, and related WWDC sessions.","intents":["Get recommendations for frameworks and documentation related to my current task","Discover related WWDC sessions when learning about a new framework","Find best practices and patterns from Apple's documentation for a specific problem","Understand the ecosystem of frameworks related to a technology area"],"best_for":["Developers exploring new frameworks and wanting guided discovery","Teams building educational content and needing curated learning paths","Developers who want serendipitous discovery of related documentation"],"limitations":["Recommendations are based on keyword matching and topic correlation, not semantic understanding of documentation content","No machine learning or personalization — recommendations are the same for all users","Cannot recommend documentation that doesn't match keywords in the query","Recommendation quality depends on the quality of documentation metadata and topic tagging"],"requires":["MCP client integration","Documentation index with topic metadata","TypeScript runtime"],"input_types":["text (user query)"],"output_types":["structured JSON array with recommended documentation, frameworks, and WWDC videos"],"categories":["planning-reasoning","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_14","uri":"capability://data.processing.analysis.batch.documentation.retrieval.with.result.aggregation","name":"batch documentation retrieval with result aggregation","description":"Supports querying multiple documentation items in a single request and aggregating results. Enables developers to retrieve documentation for multiple APIs, frameworks, or WWDC videos in parallel, reducing round-trip latency. Results are aggregated and deduplicated before returning to the client.","intents":["Get documentation for multiple UIViewController lifecycle methods in one request","Retrieve WWDC videos on multiple related topics (e.g., SwiftUI and Combine) in a single query","Batch-fetch framework availability for multiple frameworks to understand cross-platform support","Aggregate documentation for related APIs to understand the full ecosystem"],"best_for":["Code generation tools that need to fetch documentation for multiple APIs","Developers researching multiple related frameworks simultaneously","Teams building documentation aggregation tools"],"limitations":["Batch requests may exceed AI assistant context limits if too many items are requested","No support for conditional batching (e.g., 'fetch these 5 items, but only if they exist')","Result aggregation may be slow if individual requests have high latency","No built-in deduplication of overlapping documentation"],"requires":["MCP client integration","Network connectivity to Apple's documentation API","TypeScript runtime"],"input_types":["JSON array with multiple documentation queries"],"output_types":["JSON array with aggregated results, deduplicated"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_2","uri":"capability://search.retrieval.wwdc.video.catalog.search.and.filtering.by.topic.and.year","name":"wwdc video catalog search and filtering by topic and year","description":"Searches a locally-maintained JSON index of 2,000+ WWDC videos (2014-2025) organized across 17 topic categories (SwiftUI, App Services, Developer Tools, Machine Learning, etc.) and chronologically by year. Implements instant local search without external API calls by maintaining an in-memory index of video metadata (title, description, year, topics, video ID). Supports multi-dimensional filtering: by topic (e.g., 'SwiftUI & UI Frameworks'), by year range, and by keyword matching against titles and descriptions.","intents":["Find WWDC sessions about SwiftUI performance optimization from the last 3 years","Discover all WWDC talks on App Services and system integrations","Search for videos covering a specific technology (e.g., 'Metal', 'Core ML') across all years","Get recommendations for foundational WWDC sessions on a topic I'm learning"],"best_for":["iOS/macOS developers researching best practices and new framework features through WWDC","Teams building educational content or onboarding materials using WWDC as reference","Developers who want to discover related sessions without leaving their IDE"],"limitations":["WWDC video index is static and updated manually — new 2025 sessions may not appear immediately after WWDC","Search is keyword-based on titles/descriptions only — no semantic understanding of video content (would require transcripts or ML analysis)","No access to video transcripts or detailed timestamps within videos","Video metadata is curated by the MCP maintainer, not directly from Apple, so may have gaps or inconsistencies"],"requires":["MCP server with local JSON file access (videos.json)","TypeScript runtime for in-memory indexing and search","No external API calls required"],"input_types":["text (topic name, keyword, year range)"],"output_types":["structured JSON array with video title, description, year, topics, Apple video URL"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_3","uri":"capability://memory.knowledge.framework.and.technology.availability.tracking.with.version.constraints","name":"framework and technology availability tracking with version constraints","description":"Retrieves and caches metadata about Apple frameworks (UIKit, SwiftUI, Core ML, etc.) including minimum iOS/macOS version requirements, deprecation status, and platform availability (iOS, macOS, watchOS, tvOS). Implements 1-hour LRU cache (100 entries) for framework indexes since API structure changes infrequently. Enables developers to understand version constraints before using an API in their codebase.","intents":["Check if a SwiftUI modifier is available in iOS 14 or requires iOS 15+","Determine which platforms support a specific framework (e.g., is Core ML available on watchOS?)","Identify deprecated APIs and recommended replacements","Verify minimum deployment target requirements before using a framework"],"best_for":["Developers maintaining codebases that support multiple iOS versions","Teams building cross-platform apps (iOS, macOS, watchOS, tvOS) with version constraints","Code generation tools that need to emit version-aware API calls"],"limitations":["Availability data is cached for 1 hour, so very recent framework announcements (e.g., new iOS beta features) may not appear immediately","No support for beta framework availability — only tracks released versions","Deprecation information is point-in-time and doesn't track deprecation timelines","Cannot predict future framework availability or planned deprecations"],"requires":["MCP client integration","Network connectivity to Apple's API metadata endpoints","TypeScript runtime"],"input_types":["text (framework name)"],"output_types":["structured JSON with minimum version requirements, platform availability, deprecation status"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_4","uri":"capability://tool.use.integration.mcp.tool.registry.and.schema.based.function.calling","name":"mcp tool registry and schema-based function calling","description":"Exposes 15 specialized MCP tools through a standardized schema registry that enables AI assistants (Claude, Cursor, etc.) to invoke Apple documentation functions with type-safe parameters. Each tool is defined with JSON Schema including input parameters, return types, and descriptions. The MCP server handles tool invocation routing, parameter validation, and response serialization according to the Model Context Protocol specification.","intents":["Enable Claude to automatically call the right documentation tool based on user intent","Provide type-safe function signatures so AI assistants understand required parameters","Allow Cursor to offer autocomplete suggestions for documentation queries","Support multi-step workflows where one tool's output feeds into another"],"best_for":["AI assistant developers integrating Apple documentation into their platforms","Teams building MCP-compatible tools and wanting to understand the tool registry pattern","Developers extending apple-docs-mcp with custom tools"],"limitations":["Tool invocation is synchronous — no support for streaming responses or long-running operations","Schema validation is performed by the MCP client, not the server, so malformed requests may not be caught early","No built-in rate limiting per tool — depends on underlying API rate limits","Tool discovery requires reading the MCP server configuration; no dynamic tool registration at runtime"],"requires":["MCP-compatible client (Claude Desktop, Cursor, VS Code with MCP extension)","TypeScript runtime for MCP server","Model Context Protocol v1.0+ support"],"input_types":["JSON (tool invocation with parameters)"],"output_types":["JSON (tool response with results or error)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_5","uri":"capability://automation.workflow.lru.caching.with.differentiated.ttl.by.content.type","name":"lru caching with differentiated ttl by content type","description":"Implements a multi-tier LRU cache (cache.ts) with content-type-specific time-to-live values: API documentation (30 min, 500 entries), search results (10 min, 200 entries), framework indexes (1 hour, 100 entries), technology lists (2 hours, 50 entries), and WWDC video data (2 hours, unlimited). Each cache tier is optimized for the update frequency and size of its content type. Cache eviction uses least-recently-used policy when capacity is reached.","intents":["Reduce latency for repeated documentation lookups without overwhelming Apple's API","Balance freshness (search results update every 10 minutes) against stability (framework indexes stable for 1 hour)","Minimize API calls for frequently accessed frameworks while respecting documentation update cadence","Support offline-like performance for recently accessed content"],"best_for":["Teams running apple-docs-mcp in high-traffic environments (many concurrent users)","Developers optimizing for low-latency documentation access","Deployments with rate-limited access to Apple's APIs"],"limitations":["Cache is in-memory only — no persistence across server restarts, so cache is lost on deployment","TTL is fixed per content type — cannot adjust cache duration per request or user","No cache invalidation mechanism other than TTL expiry — breaking changes in documentation may not be reflected until cache expires","Cache size limits (500 entries for API docs, 200 for search) may be insufficient for very large teams with diverse documentation needs"],"requires":["TypeScript runtime with sufficient memory for in-memory LRU cache","MCP server process with stable uptime (cache is lost on restart)"],"input_types":["cache key (string), cache value (any), TTL (milliseconds)"],"output_types":["cached value or cache miss"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_6","uri":"capability://memory.knowledge.multi.platform.framework.availability.matrix","name":"multi-platform framework availability matrix","description":"Tracks and retrieves framework availability across 4 Apple platforms (iOS, macOS, watchOS, tvOS) with version constraints for each. Queries Apple's API metadata to determine which frameworks are available on which platforms and their minimum version requirements. Enables developers to understand cross-platform compatibility at a glance.","intents":["Check if a framework is available on watchOS before using it in a multi-platform app","Determine minimum iOS version required to use a specific SwiftUI feature","Understand which frameworks are iOS-only vs cross-platform","Plan app architecture based on platform-specific framework availability"],"best_for":["Developers building cross-platform Apple apps (iOS, macOS, watchOS, tvOS)","Teams managing codebases with multiple deployment targets","Code generation tools that need to emit platform-aware API calls"],"limitations":["Availability data is cached for 1 hour, so very recent platform announcements may not appear immediately","No support for beta or pre-release platform versions","Cannot track framework availability across different iOS versions simultaneously (e.g., 'available in iOS 14.5+' vs 'available in iOS 15+')","No historical tracking of when frameworks were introduced or deprecated"],"requires":["MCP client integration","Network connectivity to Apple's API metadata","TypeScript runtime"],"input_types":["text (framework name)"],"output_types":["structured JSON with platform availability matrix (iOS, macOS, watchOS, tvOS) and version constraints"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_7","uri":"capability://memory.knowledge.wwdc.video.metadata.enrichment.with.topic.tagging","name":"wwdc video metadata enrichment with topic tagging","description":"Maintains a curated JSON index of WWDC videos with rich metadata including title, description, year, topic tags (17 categories), and Apple video URL. Each video is tagged with one or more topics (e.g., 'SwiftUI & UI Frameworks', 'App Services', 'Developer Tools') enabling multi-dimensional filtering. Topic taxonomy is manually maintained by the MCP project and covers major Apple development areas.","intents":["Discover all WWDC sessions related to SwiftUI across all years","Find videos covering a specific technology area (e.g., 'Machine Learning & AI')","Browse WWDC content by topic to understand what Apple has emphasized in recent years","Build a curated learning path by filtering videos by topic and year"],"best_for":["Developers using WWDC as a learning resource and wanting topic-based discovery","Teams building educational content or onboarding materials","Developers researching best practices for a specific technology area"],"limitations":["Topic taxonomy is manually curated and may not capture all nuances of video content","Videos are tagged with topics based on title/description, not actual video content analysis","New WWDC sessions are added manually after each WWDC event, with potential delays","No support for sub-topics or hierarchical topic organization — only flat 17-category taxonomy"],"requires":["MCP server with local JSON file access (videos.json)","TypeScript runtime for in-memory indexing","No external API calls required"],"input_types":["text (topic name, keyword)"],"output_types":["structured JSON array with video metadata including topic tags"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_8","uri":"capability://memory.knowledge.swift.and.objective.c.api.documentation.format.normalization","name":"swift and objective-c api documentation format normalization","description":"Transparently handles both Swift and Objective-C API documentation formats from Apple's documentation API, normalizing differences in method signatures, parameter naming conventions, and return types. Presents unified documentation regardless of whether the underlying API is Swift-native, Objective-C-native, or bridged. Enables developers to work with either language without needing separate documentation lookups.","intents":["Get UIKit API documentation in both Swift and Objective-C syntax","Understand how an Objective-C API maps to Swift when working with legacy code","Access documentation for bridged APIs that work in both languages","Compare Swift and Objective-C implementations of the same framework"],"best_for":["Teams maintaining codebases in both Swift and Objective-C","Developers migrating from Objective-C to Swift and needing API comparisons","Developers working with legacy Objective-C frameworks in modern Swift projects"],"limitations":["Format normalization is best-effort — some Objective-C idioms (e.g., NS_ENUM) may not translate perfectly to Swift","Documentation may emphasize one language over the other depending on Apple's focus","No automatic code example translation between Swift and Objective-C","Bridged APIs may have subtle differences in behavior that documentation doesn't capture"],"requires":["MCP client integration","Network connectivity to Apple's documentation API","TypeScript runtime"],"input_types":["text (API name, framework name)"],"output_types":["structured JSON with normalized documentation for both Swift and Objective-C"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-kimsungwhee-apple-docs-mcp__cap_9","uri":"capability://code.generation.editing.code.example.extraction.and.contextual.presentation","name":"code example extraction and contextual presentation","description":"Extracts code examples from Apple's documentation API responses and presents them in context with surrounding documentation. Identifies code snippets in documentation content and formats them for readability in AI assistant interfaces. Supports both Swift and Objective-C code examples with syntax preservation.","intents":["Get a working code example for using a SwiftUI modifier in context","See how to implement a UIViewController lifecycle method with example code","Find sample implementations of common patterns (e.g., delegation, KVO) from Apple docs","Copy-paste ready code examples directly from documentation without manual extraction"],"best_for":["Developers learning new frameworks and wanting working examples","Teams using AI assistants to generate code and needing reference implementations","Code generation tools that need to learn patterns from Apple's official examples"],"limitations":["Code examples are extracted as-is from documentation — may be incomplete or simplified for brevity","No automatic testing or validation of extracted code examples","Examples may use deprecated APIs or older patterns if documentation hasn't been updated","Large code examples may exceed AI assistant context limits"],"requires":["MCP client integration","Network connectivity to Apple's documentation API","TypeScript runtime"],"input_types":["text (API name, framework name)"],"output_types":["structured JSON with code examples, syntax highlighting metadata, language identifier"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":46,"verified":false,"data_access_risk":"moderate","permissions":["MCP client integration (Claude Desktop, Cursor, VS Code with MCP extension)","Network connectivity to Apple's documentation servers","TypeScript runtime for MCP server execution","MCP client with sufficient context window to handle full documentation content","Network connectivity to Apple's JSON API endpoints","TypeScript runtime for MCP server","MCP server with local JSON file access","TypeScript runtime","No external API calls required","Node.js 18+ runtime"],"failure_modes":["Depends on Apple's search API availability and response times — no fallback to local index if API is down","Search results cached for only 10 minutes, so very recent documentation updates may not appear immediately","Cannot search across multiple Apple documentation versions simultaneously","Result ranking determined by Apple's API, not customizable by user preferences","Content retrieval latency depends on Apple's API response time — typically 200-500ms per request","Cache invalidation is time-based (30 minutes) rather than event-based, so breaking changes in documentation may not appear immediately","Large documentation pages (e.g., UIView) may return substantial JSON payloads, increasing context window usage in LLMs","No built-in support for documentation diffs or change tracking between versions","Year-based filtering is simple range matching — no support for complex temporal queries","WWDC video index is static and manually updated, so new sessions may not appear immediately","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.41454910675703754,"quality":0.5,"ecosystem":0.7000000000000001,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.065Z","last_scraped_at":"2026-05-03T14:23:34.856Z","last_commit":"2026-03-17T02:39:50Z"},"community":{"stars":1243,"forks":48,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-kimsungwhee-apple-docs-mcp","compare_url":"https://unfragile.ai/compare?artifact=mcp-kimsungwhee-apple-docs-mcp"}},"signature":"B681o1rsy+jblPfcgV+0ObhbsX0pnXQPCXmOGJsFbFHUcNvZjW+6JevuTybMjgV6CuiiR7fzavq6IhkxA5V2Cw==","signedAt":"2026-06-21T21:28:54.333Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-kimsungwhee-apple-docs-mcp","artifact":"https://unfragile.ai/mcp-kimsungwhee-apple-docs-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-kimsungwhee-apple-docs-mcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}