Which integrations are available for this server?

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

How do I use AppsFlyer MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@AppsFlyer MCP Server show me the daily report for the last 7 days" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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

Related MCP server: Plausible MCP Server

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" } } } }