How to Use the TopOn / Mobvista MCP in AutoGen

Drive consensus on ad strategy using AutoGen's multi-agent debate framework.

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Connect TopOn / Mobvista MCP to AutoGen

Create your Vinkius account to connect TopOn / Mobvista to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup TopOn / Mobvista with AutoGen

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Claude

Perplexity

Debating Ad Performance Strategy

Imagine two agents: one checking `get_mintegral_app_stats` and another reviewing `list_topon_placements`. They can 'debate' which combination of data is most critical for the next move. The system converges on a decision that factors in both inputs.

Negotiating Monetization Decisions

You build an agent team where one acts as a financial auditor and another reviews `get_monetization_summary`. They negotiate the best course of action based on conflicting data points, ensuring you don't overlook potential revenue risks.

Consensus on Ad Inventory

An agent team can discuss ad assets. One might run `list_topon_apps` while another runs `list_mintegral_offers`. The debate forces a consensus on the most complete list of available inventory before you proceed.

Setup guide

Set up TopOn / Mobvista MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes TopOn / Mobvista tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="TopOn / Mobvista_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent TopOn / Mobvista data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="TopOn / Mobvista_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent TopOn / Mobvista data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TopOn / Mobvista. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about TopOn / Mobvista MCP in AutoGen

You provide the tools to the agents. For example, one agent can call `get_topon_reporting`, and another can call `get_topon_waterfall`. They then debate which report is more useful for achieving the goal.

Yes. The agents are built to process complex, multi-source data. You can set up a deliberation where multiple tools—like `get_mintegral_app_stats` and `get_topon_reporting`—feed into the discussion.

The server provides raw data on app stats, monetization summaries, and ad placement lists. These are perfect for agents that need to challenge assumptions or reach a decision by consensus.

It's highly valuable. You can create an agent pipeline where one role is responsible for listing apps (`list_topon_apps`) and another is responsible for checking offers, allowing them to debate inventory completeness.

This MCP Server touches ad performance metrics, including eCPM, app statistics, and placement details. Since multiple agents process it, managing access control to these data types is key.

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