AppLovin MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AppLovin through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="AppLovin Assistant",
instructions=(
"You help users interact with AppLovin. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AppLovin"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About AppLovin MCP Server
The AppLovin MCP Server provides your AI agent with a powerful interface to your AppLovin and MAX mediation platforms. Gain instant insights into your monetization and user acquisition performance using simple natural language.
The OpenAI Agents SDK auto-discovers all 7 tools from AppLovin through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AppLovin, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- MAX Reporting — Access aggregated performance data for your MAX mediation, including revenue, impressions, and eCPM.
- User-Level Insights — Retrieve detailed revenue reports aggregated per user or per impression for granular analysis.
- Cohort Analytics — Monitor user retention and long-term value using MAX cohort reports.
- AppDiscovery Management — Track the performance of your UA campaigns and monitor growth trends.
- Campaign & App Inventory — List all active campaigns and tracked apps in your AppLovin account.
- Multi-Key Authentication — Securely uses both Report and Management keys to provide a comprehensive set of tools.
Benefits for Teams
- Ad Ops Managers — Quickly audit monetization performance and eCPM trends without manual dashboard exports.
- UA Specialists — Monitor campaign spend and performance across AppDiscovery using natural language.
- Growth Engineers — Analyze user-level revenue and cohort data to optimize long-term retention and ROI.
The AppLovin MCP Server exposes 7 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect AppLovin to OpenAI Agents SDK via MCP
Follow these steps to integrate the AppLovin MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 7 tools from AppLovin
Why Use OpenAI Agents SDK with the AppLovin MCP Server
OpenAI Agents SDK provides unique advantages when paired with AppLovin through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
AppLovin + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AppLovin MCP Server delivers measurable value.
Automated workflows: build agents that query AppLovin, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AppLovin, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AppLovin tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AppLovin to resolve tickets, look up records, and update statuses without human intervention
AppLovin MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect AppLovin to OpenAI Agents SDK via MCP:
get_account_check
Verify AppLovin account connection
get_app_discovery_report
Get performance data for UA campaigns (AppDiscovery)
get_max_cohort_report
Get cohort analysis reports for MAX
get_max_report
Use columns, start, and end parameters. Get aggregated performance data for MAX mediation
get_user_ad_revenue_report
Get revenue data aggregated per user or per impression
list_apps
List apps tracked in your AppLovin account
list_campaigns
List UA campaigns from the management API
Example Prompts for AppLovin in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AppLovin immediately.
"Show me the MAX revenue report for yesterday."
"List all active UA campaigns in AppLovin."
"Give me a cohort report for user retention from last month."
Troubleshooting AppLovin MCP Server with OpenAI Agents SDK
Common issues when connecting AppLovin to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AppLovin + OpenAI Agents SDK FAQ
Common questions about integrating AppLovin MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect AppLovin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AppLovin to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.