AppsFlyer
byysntony
0Integrates AppsFlyer analytics data with AI assistants via a Model Context Protocol server.
About
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.
Key Features
- Support for multiple AppsFlyer report types (partners, daily, geo)
- Type-safe input validation with Pydantic
- Provides tools for data retrieval and connection testing
- 0 GitHub stars
- Fetch aggregate data reports from AppsFlyer Pull API
- Secure API token authentication
Use Cases
- Enabling AI assistants to access and analyze AppsFlyer marketing performance data
- Providing real-time or historical AppsFlyer report data to AI models for campaign optimization
- Automating the retrieval of aggregate mobile app analytics for AI-driven insights
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