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Glama

Related Servers

Alternatives to @applyra/mcp-server

  • A
    license
    A
    quality
    A
    maintenance
    Scans websites to evaluate agent-readiness and produce an ASO Score Report across 34 signals, helping improve discoverability, trust, and interoperability for AI agents.
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    5
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  • A
    license
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    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.
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Related Servers

  • A
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    quality
    A
    maintenance
    Enables App Store and Google Play keyword rank tracking, competitor comparisons, and AI visibility checks through natural language, without requiring store credentials.
    8
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  • A
    license
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    Enables AI assistants to research App Store keywords with popularity and difficulty scores, track daily rankings across 59 storefronts, find competitor keyword gaps, optimize metadata, and review App Store Connect performance. Read tools only inspect the signed-in account, while write tools manage tracked apps, keywords, competitors, and saved lists mid-conversation.
    MIT
  • A
    license
    Not graded
    quality
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    maintenance
    Provides live App Store and Google Play data as MCP tools, enabling search, app details, reviews, charts, estimates, and more through natural language.
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  • A
    license
    Not graded
    quality
    F
    maintenance
    Enables access to Astro's App Store Optimization (ASO) database for analyzing app rankings, keyword trends, historical performance data, and app ratings. Provides comprehensive tools for tracking and comparing app store performance metrics through natural language queries.
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TDQS

A4.2/5.0

Scored across 25 tools

Disambiguation5/5

Each tool targets a distinct resource+action, and descriptions actively differentiate near-neighbors (e.g. get_keyword_rank_history vs get_app_score_history, check_metadata vs simulate_metadata, list vs get_metadata_simulation). The keyword-inspection pair (inspect_keyword vs list_keyword_inspections) is also cleanly split between analysis and history. No two tools appear to do the same thing.

Naming Consistency4/5

Overwhelmingly consistent snake_case verb_noun pattern (add_competitor, list_applications, run_niche_analysis, get_aso_health), with a few related variants like track_keywords/untrack_keyword that still read clearly. The only real deviation is top_charts, which drops the verb prefix. Minor, but it breaks the otherwise uniform convention.

Tool Count4/5

25 tools is on the heavy side, but the ASO domain is genuinely broad (apps, keywords, competitors, metadata auditing/simulation, niche analysis, top charts, account usage), and each tool maps to a distinct function with little redundancy. Slightly over what's ideal but defensible for the scope.

Completeness4/5

Coverage is strong: full add/list/remove for competitors, complete track/untrack/list/favorite for keywords, validate+simulate+retrieve lifecycle for metadata, and run/list for niche analyses and charts. The main gap is app lifecycle management—there is no remove_application or update_application, so a tracked app can be created but not edited or deleted.

Maintenance

ActivityMaintained
ResponsivenessNo issues