@applyra/mcp-server

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

Prerequisites

• An Applyra account with the Unlimited plan
• An API key, generated at applyra.io/dashboard/api

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

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

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

Learn more

• Applyra: ASO for indie developers, with a permanent free plan
• MCP setup guide (requires an account)
• REST API documentation (requires an account)

License

MIT. See LICENSE.