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Related Servers

Alternatives to @applyra/mcp-server

  • A
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    A
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    B
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    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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  • A
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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
    license
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    quality
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    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.
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  • A
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    Storelift's MCP server lets Claude, ChatGPT, Cursor or any MCP client read your App Store and Google Play keyword ranks, rivals, reviews, store pages, charts and AI visibility from your Storelift workspace. The remote server is included on every plan, including Free (1 app, 25 keywords in each of 2 storefronts, no end date); the local server and public API come with Pro and Studio.
    85
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  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI clients to query live App Store and Google Play keyword rankings, review rank history and daily/weekly reports, research keyword popularity and difficulty by country, and inspect or track competitors' keywords in natural language. It also allows adding apps and tracking or untracking up to 200 keywords per app and country, with read-only and write operations governed by license role and plan limits.
    2
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  • A
    license
    Not graded
    quality
    C
    maintenance
    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

TDQS

A3.9/5.0

Scored across 30 tools

Disambiguation4/5

Most tools map to a distinct resource and action, and closely related pairs such as inspect_keyword vs list_keyword_inspections and check_metadata vs simulate_metadata are separated by explicit workflow descriptions. A few pairs still require careful reading, but the boundaries are generally clear.

Naming Consistency4/5

All tool names use snake_case and mostly follow a verb_noun pattern. Minor deviations such as top_charts and the track/untrack pair are still readable and predictable.

Tool Count3/5

Thirty tools is heavy, but the server spans several ASO subdomains: apps, keywords, competitors, notes, metadata, charts, research, and account usage. The count is on the upper end, yet each tool maps to a distinct operation rather than obvious bloat.

Completeness4/5

Core ASO workflows are well covered: app tracking, keyword research and tracking, rank history, competitor tracking, notes, metadata validation and simulation, health audits, top charts, and account usage. Gaps include no app removal/update or single-app retrieval, and competitor update is absent, but these are minor workarounds.

Maintenance

ActivityActive
ResponsivenessNo recent community issues