Skip to main content
Glama
App Store Review Intelligence MCP Server

App Store Review Intelligence MCP Server

Related Servers

Alternatives to App Store Review Intelligence MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides live App Store rankings, charts, app details, reviews, and search across 55 countries, enabling AI assistants to query app store data.
      18 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to research mobile apps, compare onboarding and paywall flows, explore App Store reviews, and find visual UI references, bringing real screens and market context into their research.
      3
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Provides App Store Optimization tools for AI agents, enabling app lookup, keyword research, ASO audit, review mining, and revenue estimation across iOS and Google Play.
      43
      201 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to query live App Store and Google Play data — keyword demand, rank history, top charts, competitor sets, reviews and ratings — across 100+ countries, directly inside a chat instead of a dashboard. Exposes 35 read-only tools covering app search, ASO keyword profiling, ranking trajectories, and worldwide market comparisons through a remote OAuth-authenticated endpoint.
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides live App Store and Google Play data as MCP tools, enabling search, app details, reviews, charts, estimates, and more through natural language.
      1
      MIT
    • A
      license
      C
      quality
      D
      maintenance
      Enables querying and retrieving data from App Store and Google Play Store, including app details, reviews, ratings, rankings, permissions, and search capabilities across both iOS and Android platforms.
      20
      MIT

    TDQS

    A4.6/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct step in the workflow: discovery (search_apps), analysis (review_insights), raw retrieval (get_app_reviews), and benchmarking (compare_apps). Descriptions explicitly cross-reference each other with routing guidance ('for summaries call review_insights instead'), leaving no real chance of misselection.

    Naming Consistency4/5

    Three tools follow a clean verb_noun pattern (search_apps, get_app_reviews, compare_apps), all snake_case. review_insights breaks the verb-first convention by leading with a noun, a minor but noticeable deviation in an otherwise tight set.

    Tool Count5/5

    Four tools is well-scoped for an app-review intelligence server: discovery, raw fetch, single-app analysis, and multi-app comparison. Each tool covers a genuinely separate need with no filler or redundancy.

    Completeness4/5

    The search → inspect → analyze → compare lifecycle is fully covered, with sensible handoffs between tools. Minor gaps remain: no filtering of raw reviews by rating/version/date, no explicit app-details lookup, and a hard cap of ~500 reviews per fetch.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues