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Applyra

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npm @applyra/mcp-serverstdioMITupdated 18d ago

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.

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Was kannst du mit Applyra machen?

@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.

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

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

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

License

MIT. See LICENSE.