Astro
Empowers Large Language Models to access and analyze comprehensive App Store Optimization data from the Astro application.
About
The Astro server acts as a bridge, making valuable App Store Optimization (ASO) data from the Astro application accessible to Large Language Models (LLMs) via the Model Context Protocol (MCP). It allows LLMs to interact with Astro's database to retrieve current and historical keyword rankings, track app performance over time, analyze trends, compare data between dates, and much more, providing powerful insights for app developers and marketers directly through an AI interface.
Key Features
- Compare app rankings between specific dates to identify changes and percentage shifts.
- Search current keyword rankings for apps, filterable by store, app name, or ID.
- Obtain detailed information about all tracked applications, including their associated keywords and platforms.
- Retrieve historical ranking data to track changes over configurable time periods.
- Analyze keyword trends with statistical data, including average, min, max, volatility, and trend detection.
- 5 GitHub stars
Use Cases
- Monitor app performance and ASO trends over time directly through an AI interface.
- Empower AI agents to conduct competitive analysis by comparing app rankings and app ratings.
- Enable LLMs to query real-time app keyword rankings for strategic analysis.
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