Server data from the Official MCP Registry
App Store Optimization data for AI agents: keyword ranks, scores, competitors, charts
About
App Store Optimization data for AI agents: keyword ranks, scores, competitors, charts
Security Report
This MCP server is well-structured and secure. It properly requires API key authentication via environment variables, implements input validation with Zod schemas, and makes only authorized API calls to the Applyra backend. Permissions are appropriate for its purpose as a developer tool interfacing with an ASO (App Store Optimization) service. Minor code quality observations about error handling breadth do not materially impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: APPLYRA_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-applyra-mcp-server": {
"env": {
"APPLYRA_API_KEY": "your-applyra-api-key-here"
},
"args": [
"-y",
"@applyra/mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@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.
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
FinAgent
Freeby mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.
