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How to Use the Audiomack MCP in AutoGen

Debate music trends with Audiomack and AutoGen. Multi-agent systems that negotiate and decide on your behalf.

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AutoGen

Connect Audiomack MCP to AutoGen

Create your Vinkius account to connect Audiomack 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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Deploy AutoGen agents for music debate

Set up a team of agents where one uses `get_trending_music` while another critiques the selection. They discuss the results until they reach a consensus on which tracks to `favorite_music`. This approach lets you build complex logic where agents challenge each other. One agent acts as the curator, and the other acts as the quality filter, using the tool output to justify their arguments.

Negotiate playlists with AutoGen

Assign an agent to manage your `create_playlist` and `add_track_to_playlist` tasks while a security agent checks for duplicates. They negotiate the final list composition before finalizing the update. This prevents errors and ensures your playlists match your specific criteria. The agents talk through the constraints until they agree on the best set of tracks.

Automate Audiomack workflows with AutoGen

Use the McpToolAdapter to bring all 28 Audiomack tools into your multi-agent conversation. Your agents have full access to everything from `search` to `follow_artist`. They share context and tool results within the conversation thread. This allows for sophisticated decision-making that happens in real-time as the agents interact with the live platform.

Setup guide

Set up Audiomack MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Audiomack 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="Audiomack_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about Audiomack MCP in AutoGen

They can. You provide the tool list to your agents, and they decide who calls which function based on their assigned roles.
You provide a single token for the server. The agents use the authenticated session to perform actions like reposting or deleting playlists.
That is the point. You can configure one agent to be skeptical of trending tracks, forcing a debate before any music is favorited.
We enforce strict isolation between the server and your agents. Your credentials remain within the secure sandbox, and no data is shared outside your environment.
It manages your private playlist IDs, artist follow lists, and favorite tracks. This information is encrypted in transit and never logged by our infrastructure.

Start using the Audiomack MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 28 tools

We've already built the connector for Audiomack. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 28 tools are live and waiting. You're up and running in seconds.

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