AppLovin MCP Server for AutoGen 7 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add AppLovin as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="applovin_agent",
tools=tools,
system_message=(
"You help users with AppLovin. "
"7 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use AppLovin tools. Connect 7 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the AppLovin MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 7 tools from AppLovin automatically
Why Use AutoGen with the AppLovin MCP Server
AutoGen provides unique advantages when paired with AppLovin through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use AppLovin tools to solve complex tasks
Role-based architecture lets you assign AppLovin tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive AppLovin tool calls
Code execution sandbox: AutoGen agents can write and run code that processes AppLovin tool responses in an isolated environment
AppLovin + AutoGen Use Cases
Practical scenarios where AutoGen combined with the AppLovin MCP Server delivers measurable value.
Collaborative analysis: one agent queries AppLovin while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from AppLovin, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using AppLovin data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process AppLovin responses in a sandboxed execution environment
AppLovin MCP Tools for AutoGen (7)
These 7 tools become available when you connect AppLovin to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting AppLovin to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"AppLovin + AutoGen FAQ
Common questions about integrating AppLovin MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.