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Implements a standardized tool interface that LLM agents can invoke to discover apps matching user queries without requiring direct API credentials or authentication handling by the client application.","intents":["Search for apps by name, category, or functionality to recommend to users","Retrieve detailed app metadata (ratings, reviews, pricing) for comparison or analysis","Build an app discovery agent that can answer questions about available apps","Integrate app search capabilities into an LLM-powered assistant without managing Google Play API keys"],"best_for":["LLM application developers building app recommendation systems","AI agents that need to answer user questions about mobile apps","Teams building cross-platform discovery tools that include mobile app search"],"limitations":["Search results limited to publicly available Google Play Store data; cannot access unpublished or region-restricted apps","No real-time app update notifications or change tracking — metadata reflects current Play Store state only","Rate limiting may apply if MCP server receives high-volume concurrent search requests","Cannot retrieve sensitive app data like revenue, download analytics, or developer contact information"],"requires":["MCP client implementation (Claude, custom LLM framework, or MCP-compatible tool)","Network connectivity to reach the MCP server endpoint","Google Play Store accessibility from the server's network location"],"input_types":["text (search query)","text (app name or package identifier)","text (category filter)"],"output_types":["structured JSON (app metadata)","text (app descriptions and reviews)","numeric (ratings, download counts, pricing)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_agimaulana-google-play-mcp__cap_1","uri":"capability://data.processing.analysis.app.metadata.enrichment.and.structured.extraction","name":"app metadata enrichment and structured extraction","description":"Parses and structures raw Google Play Store app data into standardized fields (title, description, rating, review count, price, category, developer, permissions, screenshots, etc.) for downstream consumption by agents or applications. Uses MCP's resource-based response format to deliver consistent, queryable metadata that agents can reason over without additional parsing or normalization steps.","intents":["Extract structured app information for building comparison tables or recommendation lists","Normalize app metadata across multiple search results for consistent agent reasoning","Retrieve app permissions, privacy policies, and developer information for security analysis","Build a local cache or knowledge base of app metadata for faster subsequent queries"],"best_for":["Developers building app comparison or recommendation UIs","Security-focused teams analyzing app permissions and privacy practices","Data engineers building datasets of mobile app metadata for analysis"],"limitations":["Metadata structure is fixed by the MCP server implementation — cannot customize fields returned without modifying server code","Screenshots and images are returned as URLs only; no local caching or image processing included","Review text is limited to summary/aggregate data; full individual review text may not be available","Localization data (app names/descriptions in different languages) depends on Play Store availability"],"requires":["MCP server running and accessible","Understanding of the returned JSON schema for proper field mapping","Storage mechanism if building a local metadata cache"],"input_types":["text (app package name or Play Store URL)"],"output_types":["structured JSON (app metadata object)","text (descriptions, reviews, changelogs)","URLs (screenshots, icons, developer links)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_agimaulana-google-play-mcp__cap_2","uri":"capability://search.retrieval.multi.criteria.app.filtering.and.ranking","name":"multi-criteria app filtering and ranking","description":"Supports filtering and sorting app search results by multiple criteria (rating threshold, price range, minimum install count, category, language support, developer reputation) and returns ranked results based on relevance, popularity, or user-defined scoring. Implements filtering logic server-side to reduce data transfer and enable agents to narrow results before processing.","intents":["Find highly-rated apps in a specific category within a price range","Filter apps by minimum install count to identify popular or niche options","Rank results by rating, downloads, or recency to surface the most relevant apps","Build a recommendation agent that applies multiple constraints (e.g., 'free, highly-rated, productivity apps')"],"best_for":["Recommendation engine builders who need to apply business logic to app rankings","Teams building filtered app discovery experiences for specific user segments","Agents that need to narrow large result sets before further analysis"],"limitations":["Filtering is limited to fields exposed by the MCP server; custom metadata fields cannot be filtered","Ranking algorithms are fixed server-side; custom scoring functions require server modification","Complex multi-field filters may have performance implications on large result sets","No support for fuzzy matching or typo tolerance in filter values"],"requires":["MCP server implementation that supports filter/sort parameters","Knowledge of available filter fields and their valid value ranges","Understanding of ranking algorithm behavior for predictable result ordering"],"input_types":["text (search query)","numeric (rating threshold, price range, install count)","text (category, language, developer name)"],"output_types":["structured JSON array (filtered and ranked app results)","numeric (relevance scores, ranking positions)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_agimaulana-google-play-mcp__cap_3","uri":"capability://data.processing.analysis.app.review.aggregation.and.sentiment.analysis","name":"app review aggregation and sentiment analysis","description":"Retrieves and aggregates user reviews for apps, including review text, ratings, and metadata (reviewer name, review date, helpful votes). May include basic sentiment classification or summary statistics to help agents understand user sentiment without reading individual reviews. Implements pagination to handle apps with thousands of reviews.","intents":["Analyze user sentiment about an app to inform recommendation decisions","Retrieve recent reviews to understand current user experience and issues","Build a review summary for comparison between competing apps","Identify common complaints or praise patterns across reviews"],"best_for":["Product teams evaluating app quality and user satisfaction","Agents building detailed app comparison reports","Developers researching competitor apps and user feedback"],"limitations":["Review text is limited to what Google Play exposes; full review history may not be available","Sentiment analysis (if provided) is basic aggregation, not deep NLP — may not capture nuanced opinions","Reviews are time-windowed; older reviews may be filtered out by Play Store","No ability to filter reviews by device type, OS version, or other metadata","Review pagination may be slow for apps with very high review counts"],"requires":["MCP server with review retrieval capability","Pagination handling if processing large review sets","Storage or caching mechanism for review analysis"],"input_types":["text (app package name)","numeric (pagination offset/limit)"],"output_types":["structured JSON (review objects with text, rating, date)","numeric (aggregate sentiment scores, rating distribution)","text (review summaries or highlights)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_agimaulana-google-play-mcp__cap_4","uri":"capability://search.retrieval.app.category.and.taxonomy.browsing","name":"app category and taxonomy browsing","description":"Provides access to Google Play Store's app categories and subcategories, enabling agents to explore the app ecosystem by category hierarchy. Implements a browsable taxonomy that agents can traverse to discover categories or filter searches by category constraints. Returns category metadata including app counts, popularity, and subcategory relationships.","intents":["Discover available app categories to guide user searches","Build a category-based app discovery interface or recommendation flow","Filter app searches by category to narrow results","Analyze app distribution across categories for market research"],"best_for":["Developers building category-based app discovery UIs","Agents that need to understand the app ecosystem structure","Market research teams analyzing app distribution by category"],"limitations":["Category taxonomy is static and reflects Google Play's current structure; custom categories cannot be created","Subcategory depth may be limited; not all categories have deep hierarchies","Category names and organization may change with Play Store updates","No ability to create custom category groupings or cross-category searches"],"requires":["MCP server with category browsing capability","Understanding of the category hierarchy structure"],"input_types":["text (category name or ID)"],"output_types":["structured JSON (category hierarchy)","numeric (app counts per category)","text (category descriptions)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_agimaulana-google-play-mcp__cap_5","uri":"capability://search.retrieval.developer.profile.and.app.portfolio.retrieval","name":"developer profile and app portfolio retrieval","description":"Retrieves information about app developers including their profile, contact information, published apps, and developer reputation metrics. Enables agents to understand developer context and discover related apps from the same publisher. Implements caching to avoid redundant developer lookups across multiple app queries.","intents":["Understand the developer behind an app to assess trustworthiness","Discover other apps from the same developer for recommendations","Build a developer profile for comparison or analysis","Identify prolific or reputable developers in a category"],"best_for":["Security-focused teams vetting app developers","Recommendation engines that consider developer reputation","Developers researching competitors and their app portfolios"],"limitations":["Developer information is limited to what Google Play exposes; private developer data is not available","Developer reputation metrics are derived from app ratings only; no independent verification","Cannot access developer contact information beyond what's listed on Play Store","Developer profile changes may lag behind actual updates"],"requires":["MCP server with developer profile capability","Developer ID or app package name to look up developer"],"input_types":["text (developer ID or name)","text (app package name to look up developer)"],"output_types":["structured JSON (developer profile)","text (developer description, contact info)","array (list of apps by developer)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_agimaulana-google-play-mcp__cap_6","uri":"capability://data.processing.analysis.app.version.history.and.changelog.tracking","name":"app version history and changelog tracking","description":"Retrieves version history and changelogs for apps, including release dates, version numbers, and update descriptions. Enables agents to understand app evolution, identify recent changes, and assess update frequency. Implements changelog parsing to extract structured information about bug fixes, features, and improvements.","intents":["Check if an app has been recently updated or is actively maintained","Understand what features or fixes were added in recent versions","Compare update frequency between competing apps","Identify apps with long periods without updates (potential red flag)"],"best_for":["Teams evaluating app maintenance and active development","Recommendation engines that prioritize actively-maintained apps","Developers researching competitor app development velocity"],"limitations":["Changelog text is limited to what developers provide; not all updates include detailed descriptions","Version history may be truncated for very old apps; full history may not be available","Changelog parsing is basic text extraction; structured change categorization requires additional NLP","Release dates may not reflect actual development dates; only Play Store publication dates are available"],"requires":["MCP server with version history capability","App package name to retrieve changelog"],"input_types":["text (app package name)"],"output_types":["structured JSON (version history with dates and descriptions)","text (changelog entries)","numeric (version numbers, release dates)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_agimaulana-google-play-mcp__cap_7","uri":"capability://safety.moderation.app.permissions.and.privacy.policy.analysis","name":"app permissions and privacy policy analysis","description":"Retrieves app permissions (requested Android/iOS permissions), privacy policy text, and data handling practices. Enables security-focused agents to assess privacy risks and understand what data apps access. Implements permission categorization (dangerous, normal, signature) to help agents identify high-risk permissions.","intents":["Assess privacy and security risks of an app before recommending it","Compare permissions between competing apps to identify privacy differences","Identify apps requesting excessive or suspicious permissions","Build a privacy-aware recommendation system"],"best_for":["Security and privacy-focused teams vetting apps","Agents building privacy-aware recommendations","Developers analyzing competitor app security practices"],"limitations":["Permission analysis is limited to declared permissions; runtime behavior may differ","Privacy policy text is raw HTML/text; no structured extraction of privacy practices","Permission categorization is based on Android/iOS standards; interpretation may vary","Cannot detect undeclared permissions or privacy violations; only analyzes declared data"],"requires":["MCP server with permissions and privacy policy capability","App package name to retrieve permissions","Understanding of permission categories and privacy implications"],"input_types":["text (app package name)"],"output_types":["array (list of permissions with categories)","text (privacy policy text)","structured JSON (permission risk assessment)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"moderate","permissions":["MCP client implementation (Claude, custom LLM framework, or MCP-compatible tool)","Network connectivity to reach the MCP server endpoint","Google Play Store accessibility from the server's network location","MCP server running and accessible","Understanding of the returned JSON schema for proper field mapping","Storage mechanism if building a local metadata cache","MCP server implementation that supports filter/sort parameters","Knowledge of available filter fields and their valid value ranges","Understanding of ranking algorithm behavior for predictable result ordering","MCP server with review retrieval capability"],"failure_modes":["Search results limited to publicly available Google Play Store data; cannot access unpublished or region-restricted apps","No real-time app update notifications or change tracking — metadata reflects current Play Store state only","Rate limiting may apply if MCP server receives high-volume concurrent search requests","Cannot retrieve sensitive app data like revenue, download analytics, or developer contact information","Metadata structure is fixed by the MCP server implementation — cannot customize fields returned without modifying server code","Screenshots and images are returned as URLs only; no local caching or image processing included","Review text is limited to summary/aggregate data; full individual review text may not be available","Localization data (app names/descriptions in different languages) depends on Play Store availability","Filtering is limited to fields exposed by the MCP server; custom metadata fields cannot be filtered","Ranking algorithms are fixed server-side; custom scoring functions require server modification","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.42,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:25.062Z","last_scraped_at":"2026-05-03T15:19:27.558Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=agimaulana-google-play-mcp","compare_url":"https://unfragile.ai/compare?artifact=agimaulana-google-play-mcp"}},"signature":"bwA5MYaZESqgFX4w+aT7Aq3CuIXhKCIx1N9G0OeAWWJEJOV3a+53EL08WPaKr9FwousEZDuLBLU/M+i8VluQCA==","signedAt":"2026-06-15T21:24:06.051Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/agimaulana-google-play-mcp","artifact":"https://unfragile.ai/agimaulana-google-play-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=agimaulana-google-play-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"}}