{
"mcpServers": {
"applovin-max-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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PoC
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No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 127 days ago.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
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A Model Context Protocol (MCP) server that provides LLM clients like Claude with access to AppLovin Max advertising platform analytics and reporting capabilities.
⚠️ IMPORTANT: PROOF OF CONCEPT ONLY
This is a proof-of-concept throwaway project created for demonstration and experimentation purposes. It is NOT production-ready and should NOT be used in production environments without significant additional work.
Known Limitations:
Use at your own risk. This code is provided as-is with no warranties. See the LICENSE file for details.
This Go-based MCP server exposes AppLovin Max API functionality through standardized tools, enabling AI assistants to query mobile ad revenue data, analyze user cohorts, and generate insights from your AppLovin monetization metrics.
git clone <repository-url>
cd Applovin-Max-MCP
go mod download
go build -o bootstrap cmd/main.go
Set your AppLovin API key as an environment variable:
export APPLOVIN_API_KEY="your_api_key_here"
The MCP server communicates via stdio (standard input/output):
./bootstrap
Add the following configuration to your Claude Desktop config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"applovin-max": {
"command": "/path/to/Applovin-Max-MCP/bootstrap",
"env": {
"APPLOVIN_API_KEY": "your_api_key_here"
}
}
}
}
revenue_report)Retrieves aggregated mediation statistics from AppLovin Max.
start (string): Start date in YYYY-MM-DD formatend (string): End date in YYYY-MM-DD formatformat (string): Output format - json or csvColumns (array, default: ["day", "application"]):
day, hour, application, package_name, ad_format, country, platform, network, network_placement, max_placement, max_ad_unit_id, custom_network_name, ad_unit_waterfall_name, device_type, store_id, has_idfa, max_ad_unit_testimpressions, responses, requests, attempts, estimated_revenue, ecpm, fill_rateFilters:
filter_application: Filter by application namefilter_package_name: Filter by package namefilter_ad_type: Filter by ad type (e.g., banner, inter, rewarded)filter_country: Filter by two-letter ISO country codefilter_platform: Filter by platform (android, ios)filter_network: Filter by network namefilter_zone: Filter by zoneSorting:
sort_day: Sort by day (ASC/DESC)sort_hour: Sort by hour (ASC/DESC)