How to Use the Megaphone MCP in AutoGen

Q: Can AutoGen agents discuss Megaphone data to reach a consensus?

Yes, you can configure agents to debate the results of listcampaigns or listorders. They share findings and settle on an optimal configuration for your network.

Coordinate multi-agent debates in AutoGen to manage your Megaphone network with consensus-driven decision making.

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Connect Megaphone MCP to AutoGen

Create your Vinkius account to connect Megaphone 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 Megaphone with AutoGen

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Debate podcast strategy in AutoGen

Let your agents negotiate ad insertion timing by comparing `list_ad_locations` against your current `list_orders`. They challenge each other to find the best placement for every episode. This eliminates single-agent bias. You get a system where one agent focuses on network revenue while another checks for listener experience, reaching a balanced plan before executing any changes.

Automate network management in AutoGen

Assign agents to monitor `get_network_details` and trigger alerts. When one agent detects a change, the others discuss how to update your campaign settings accordingly. It’s a collaborative loop. The agents use the Megaphone MCP Server to gather facts, then deliberate on the best course of action to keep your network running smoothly.

Resolve campaign conflicts in AutoGen

Use multiple agents to analyze `list_campaigns` data. If campaign goals overlap, the agents flag the issue and propose a solution based on the metadata retrieved from the server. Your system becomes self-correcting. By having agents debate the data, you minimize the risk of inventory errors and ensure your campaigns align with your network's specific requirements.

Setup guide

Set up Megaphone 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 Megaphone 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="Megaphone_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Megaphone_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Yes, you can configure agents to debate the results of `list_campaigns` or `list_orders`. They share findings and settle on an optimal configuration for your network.

Pass the tools list directly to your AssistantAgent. The adapter handles the schema conversion, allowing your agents to start calling API functions immediately.

It supports both stdio and HTTP transports. This gives you the flexibility to run the server in a local process or as a remote service within your multi-agent system.

Your endpoint token is managed by the server. The agents only see the output of the tools, keeping your authentication details away from the conversation loop.

The data is accessed only when an agent invokes a tool like `get_podcast`. It exists ephemerally in the agent's context and is never stored on the Vinkius platform.

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