Hosts the repository for the AppsFlyer MCP server code
Provides type-safe input validation for AppsFlyer API requests and data models
Supports testing the AppsFlyer MCP server implementation
Used as the implementation language for the AppsFlyer MCP server
AppsFlyer MCP Server
A Model Context Protocol (MCP) server for integrating AppsFlyer analytics data with AI assistants.
Features
- Fetch aggregate data reports from AppsFlyer Pull API
- Support for multiple report types: partners_report, partners_by_date_report, daily_report, geo_report, geo_by_date_report
- Secure API token authentication
- Type-safe input validation with Pydantic
Installation
Configuration
Set up your AppsFlyer API credentials as environment variables:
Or create a .env
file:
Usage
Running the MCP Server
MCP Configuration
Add to your MCP configuration file:
Available Tools
get_aggregate_data
: Fetch aggregate data reports from AppsFlyer Pull APItest_appsflyer_connection
: Test the connection to AppsFlyer API
Report Types
partners_report
: Partner performance datapartners_by_date_report
: Daily partner performance datadaily_report
: Daily aggregate data (default)geo_report
: Geographic performance datageo_by_date_report
: Daily geographic performance data
Development
License
MIT License
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Integrates AppsFlyer analytics data with AI assistants, allowing users to fetch various aggregate data reports from AppsFlyer Pull API with secure authentication.
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