mcp-appstore
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Alternatives to mcp-appstore
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Related Servers
- AlicenseBqualityCmaintenanceMCP server that scrapes app data from Google Play and Apple App Store, providing tools for search, details, reviews, and similar apps.815 npmMIT
- AlicenseAqualityCmaintenanceAn MCP server that provides comprehensive market intelligence by analyzing data from both the Apple App Store and Google Play Store, enabling users to research apps, track market trends, study competitors, and understand user feedback across mobile marketplaces.42033 npm26MIT
- AlicenseAqualityCmaintenanceMCP server for looking up apps, reviews, ratings, charts, in-app purchases, privacy details, and version history on Apple's App Store. It requires no API key.112 npm1MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server for App Store Optimization that provides keyword research, competitor analysis, review sentiment, and metadata optimization using real App Store data without requiring an API key.31 npm5MIT
- FlicenseNot gradedqualityBmaintenanceProvides MCP tools to search and retrieve Apple App Store and Google Play app data, including app details, reviews, charts, developer info, and ASO keyword/rank estimates.-
- AlicenseNot gradedqualityDmaintenanceA remote MCP server that gives AI agents structured access to Google Play and the Apple App Store — search apps, fetch metadata, pull reviews.MIT
TDQS
Scored across 11 tools
Most tools have clearly distinct purposes targeting different app store data aspects like reviews, keywords, app details, developer info, pricing, similar apps, and version history. However, 'analyze_reviews' and 'analyze_top_keywords' could potentially overlap with 'fetch_reviews' and 'get_keyword_scores' in functionality, creating minor ambiguity about whether they perform retrieval or analysis.
All tool names follow a consistent snake_case pattern with clear verb_noun structures. The naming convention is uniform throughout, using verbs like 'analyze', 'fetch', 'get', and 'search' paired with specific nouns, making the set highly predictable and readable.
With 11 tools, the count is well-scoped for an app store analysis server. Each tool appears to serve a distinct data retrieval or analysis function, covering categories, reviews, keywords, app details, and more, without feeling excessive or insufficient for the domain.
The tool set provides comprehensive coverage for app store data analysis, including search, details, reviews, keywords, pricing, developer info, similar apps, and version history. A minor gap exists in update or modification tools (e.g., for tracking changes), but the surface supports core analysis workflows effectively.