Integrates AppsFlyer analytics data with AI assistants via a Model Context Protocol server.
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This Model Context Protocol (MCP) server empowers AI assistants to seamlessly access and interpret AppsFlyer analytics data. It facilitates fetching comprehensive aggregate reports directly from the AppsFlyer Pull API, offering support for various report types including partner performance, daily summaries, and geographical insights. This integration provides a structured way for AI systems to leverage marketing performance data for enhanced analysis, decision-making, and automated reporting.
주요 기능
01Support for multiple AppsFlyer report types (partners, daily, geo)
02Type-safe input validation with Pydantic
03Provides tools for data retrieval and connection testing
040 GitHub stars
05Fetch aggregate data reports from AppsFlyer Pull API
06Secure API token authentication
사용 사례
01Enabling AI assistants to access and analyze AppsFlyer marketing performance data
02Providing real-time or historical AppsFlyer report data to AI models for campaign optimization
03Automating the retrieval of aggregate mobile app analytics for AI-driven insights
