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
git clone https://github.com/ysntony/appsflyer-mcp
cd appsflyer-mcp
uv sync
Configuration
Set up your AppsFlyer API credentials as environment variables:
export APPSFLYER_API_BASE_URL="https://hq1.appsflyer.com"
export APPSFLYER_TOKEN="your_api_token_here"
Or create a .env file:
APPSFLYER_API_BASE_URL=https://hq1.appsflyer.com
APPSFLYER_TOKEN=your_api_token_here
Usage
Running the MCP Server
uv run python run_server.py
MCP Configuration
Add to your MCP configuration file:
{
"mcpServers": {
"appsflyer": {
"command": "uv",
"args": ["run", "python", "run_server.py"],
"cwd": "/path/to/appsflyer-mcp",
"env": {
"APPSFLYER_API_BASE_URL": "https://hq1.appsflyer.com",
"APPSFLYER_TOKEN": "your_api_token_here"
}
}
}
}
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
uv sync --dev
pytest
License
MIT License