How to Use the Ad4Game MCP in AutoGen

Q: How do I register Ad4Game tools with my AutoGen MCP agents?

Install autogen-extmcp and use mcpservertools with your Vinkius HTTP URL. Pass the resulting tool list directly to your AssistantAgent constructor to start the conversation.

Q: How does the Ad4Game MCP Server handle schema translation in AutoGen?

The McpToolAdapter automatically translates the server's tool schemas into the format AutoGen expects, ensuring your agents can call the tools without syntax errors.

Let your AutoGen agents debate and optimize game ad campaigns using live performance data from Ad4Game.

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Connect Ad4Game MCP to AutoGen

Create your Vinkius account to connect Ad4Game 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 Ad4Game with AutoGen

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Consensus-driven campaign selection in AutoGen

By calling `list_offers`, both your marketing specialist agent and your budget auditor agent can analyze the same live inventory and negotiate the best strategy. In AutoGen, agents don't just execute, they debate which game campaigns to run. The budget agent might challenge a high-payout offer because of strict geo-restrictions, while the marketer pushes for it. They use the live tool data to reach a reasoned consensus before launching.

Multi-agent creative auditing via MCP Server

Set up an AutoGen conversation where one agent retrieves assets using `get_creatives` and another agent audits them for brand compliance. The agents trade feedback in a loop until the creative meets your quality bar. This collaborative workflow ensures no bad creatives slip through to your active campaigns. The conversation only concludes when the auditor agent approves the assets fetched by the retrieval agent.

Negotiating offer payouts with live data

Your agents can dynamically evaluate campaign terms by calling `get_offer_details` during their discussion. If an offer's payout doesn't meet your target margins, the procurement agent can automatically flag it for renegotiation. This live feedback loop prevents your team from running low-margin game ads. The agents use real-time data to make smart, autonomous decisions without requiring human intervention.

Setup guide

Set up Ad4Game 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 Ad4Game 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="Ad4Game_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Ad4Game 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="Ad4Game_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Ad4Game 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 Ad4Game. 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 Ad4Game MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius HTTP URL. Pass the resulting tool list directly to your `AssistantAgent` constructor to start the conversation.

Yes, any agent in your AutoGen group chat can invoke tools like `list_offers` or `get_creatives` to share ad details and assets with the rest of the conversation.

The `McpToolAdapter` automatically translates the server's tool schemas into the format AutoGen expects, ensuring your agents can call the tools without syntax errors.

Yes, you can selectively pass the tool list only to specific agents, like your marketing specialist, while keeping your auditor agent focused purely on compliance.

Yes, your ad inventory metrics and campaign details remain secure. Vinkius executes the server in an ephemeral, zero-trust V8 sandbox, ensuring your private ad data never leaks during agent conversations.

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