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Vinkius runs on AutoGen

How to Use the Chord Constructor MCP in AutoGen

Build consensus-driven music systems with Chord Constructor and AutoGen.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vinkius runs on AutoGen

Connect Chord Constructor MCP to AutoGen

Create your Vinkius account to connect Chord Constructor 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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Key Capabilities

Arrange Voicings in AutoGen

When agents debate the best way to voice a passage, they can call `generate_voicings`. This tool returns multiple options—'closed' or 'open' textures—allowing your system to compare and converge on an optimal sound choice. This moves beyond simple suggestion; it forces deliberation between concrete artistic choices.

Parse Notation in AutoGen

The debate process starts with raw input. Use `parse_chord_string` to convert any chord notation into its basic, structured components. This gives the agents a common, unambiguous data format to argue over. They're not arguing about letters; they're debating specific note values and intervals.

Identify Roles in AutoGen

One agent might challenge another by asking for the functional role of a chord. Calling `determine_harmonic_role` provides objective data points—the I, IV, or V function—that forces a structured conclusion among competing agents. It’s the definitive piece of evidence in your multi-agent discussion.

Setup guide

Set up Chord Constructor 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 Chord Constructor 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="Chord Constructor_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about Chord Constructor MCP in AutoGen

It provides objective, structured data that forces your agents to engage in technical debate. They must reconcile the functional role against the available voicings using this MCP.
Absolutely. You can set up a system where one agent parses the chord, another determines its inversions, and a third validates the harmonic role against established rules.
It primarily handles musical notation strings (e.g., 'Cmaj7/G') which are analyzed into structured note components, intervals, and harmonic roles.
Yes. Its output is based on established rules of Western harmony, providing a consistent baseline that competing agents must argue around.
The MCP assumes a standard tonal framework; if your music shifts into purely atonal or microtonal realms, the functional analysis might require manual input to guide the debate.

Start using the Chord Constructor MCP today

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