App Store Optimization data for AI agents: keyword ranks, scores, competitors, charts
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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.
20 tools covering keyword rank tracking, difficulty and traffic scoring, competitor visibility, autocomplete mining, niche clustering, and top charts, on the App Store and Google Play.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
Add to .cursor/mcp.json or ~/.cursor/mcp.json:
Add to .vscode/mcp.json:
Note --env, where Claude Code takes -e.
Add to ~/.codeium/windsurf/mcp_config.json:
| Tool | Description |
|---|---|
list_applications | List tracked apps with store metadata, ratings, and keyword count |
add_application | Track a new application by its store bundle ID. Fetches store metadata and computes the initial visibility score |
list_keywords | Tracked keywords with current rank, favorite flag, difficulty/traffic scores |
track_keywords | Track up to 20 new keywords for an application in a single call |
untrack_keyword | Stop tracking a keyword for an application (soft delete) |
set_keyword_favorite | Mark or unmark a tracked keyword as favorite for a specific app |
inspect_keyword | Deep-analyze any keyword: difficulty, traffic, KEI, top 20 apps, related keywords |
list_keyword_inspections | Past keyword inspections with their scores |
run_autocomplete | Fetch autocomplete suggestions from the App Store or Google Play |
list_autocomplete_history | Past autocomplete queries |
run_niche_analysis | Cluster a niche topic into sub-niches with opportunity scores |
list_niche_analyses | Past niche analyses |
top_charts | Top apps chart for a store/country/category/collection, with daily rank movement |
list_top_chart_categories | Categories and collections supported by top_charts, per store |
get_keyword_rank_history | Daily rank evolution over a date range |
get_app_score_history | Daily visibility score history for an app |
list_competitors | Competitor pairs with side-by-side visibility scores |
add_competitor | Add a competitor app to one of your applications by its store bundle ID |
remove_competitor | Remove a competitor relationship by its internal ID |
get_account_usage | Current usage vs. plan limits |
MIT. See LICENSE.
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