Applyra

App Store Optimization data for AI assistants: keyword rankings, difficulty and traffic, competitors, ASO Health and top charts on the App Store and Google Play.

Documentation

@applyra/mcp-server

npm CI License: MIT

MCP (Model Context Protocol) server for Applyra. It connects your App Store and Google Play keyword data to AI assistants like Claude, Cursor, Codex, VS Code Copilot, and more.

25 tools covering keyword rank tracking, difficulty and traffic scoring, listing audits and metadata simulation, competitor visibility, autocomplete mining, niche clustering, and top charts, on the App Store and Google Play.

Prerequisites

Installation

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "applyra": {
      "command": "npx",
      "args": ["-y", "@applyra/mcp-server"],
      "env": {
        "APPLYRA_API_KEY": "your_api_key"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json or ~/.cursor/mcp.json:

{
  "mcpServers": {
    "applyra": {
      "command": "npx",
      "args": ["-y", "@applyra/mcp-server"],
      "env": {
        "APPLYRA_API_KEY": "your_api_key"
      }
    }
  }
}

VS Code (GitHub Copilot)

Add to .vscode/mcp.json:

{
  "servers": {
    "applyra": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@applyra/mcp-server"],
      "env": {
        "APPLYRA_API_KEY": "your_api_key"
      }
    }
  }
}

Claude Code

claude mcp add applyra -e APPLYRA_API_KEY=your_api_key -- npx -y @applyra/mcp-server

Codex

Note --env, where Claude Code takes -e.

codex mcp add applyra --env APPLYRA_API_KEY=your_api_key -- npx -y @applyra/mcp-server

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "applyra": {
      "command": "npx",
      "args": ["-y", "@applyra/mcp-server"],
      "env": {
        "APPLYRA_API_KEY": "your_api_key"
      }
    }
  }
}

Available Tools

ToolDescription
list_applicationsList tracked apps with store metadata, ratings, keyword count and ASO Health scores
add_applicationTrack a new application by its store bundle ID. Fetches store metadata and computes the initial visibility score
list_keywordsTracked keywords with current rank, favorite flag, difficulty/traffic scores
track_keywordsTrack up to 20 new keywords for an application in a single call
untrack_keywordStop tracking a keyword for an application (soft delete)
set_keyword_favoriteMark or unmark a tracked keyword as favorite for a specific app
inspect_keywordDeep-analyze any keyword: difficulty, traffic, KEI, top 20 apps, related keywords
list_keyword_inspectionsPast keyword inspections with their scores
run_autocompleteFetch autocomplete suggestions from the App Store or Google Play
list_autocomplete_historyPast autocomplete queries
run_niche_analysisCluster a niche topic into sub-niches with opportunity scores
list_niche_analysesPast niche analyses
top_chartsTop apps chart for a store/country/category/collection, with daily rank movement
list_top_chart_categoriesCategories and collections supported by top_charts, per store
get_keyword_rank_historyDaily rank evolution over a date range
get_app_score_historyDaily visibility score history for an app
get_aso_healthFull listing audit for an app: coverage, targeting and appeal, every field, and what to fix
check_metadataCheck draft listing text against each store's limits and forbidden copy. Instant, no store lookup
simulate_metadataScore a listing that does not exist yet and see the gain against the app's current score
list_metadata_simulationsListing drafts already scored on the account (titles and scores)
get_metadata_simulationOne saved draft in full: its four fields, its context and its findings
list_competitorsCompetitor pairs with side-by-side visibility scores
add_competitorAdd a competitor app to one of your applications by its store bundle ID
remove_competitorRemove a competitor relationship by its internal ID
get_account_usageCurrent usage vs. plan limits

Learn more

License

MIT. See LICENSE.