How to Use the Chord Progression Analyzer MCP in OpenAI Agents SDK

Q: Does Chord Progression Analyzer support multiple data types in my OpenAI Agents SDK?

Yes. It handles named chords via analyzeromannumerals and then uses the resulting Roman numerals to classify patterns, making it highly adaptable for multi-step agent tasks.

Q: If I use Chord Progression Analyzer with the OpenAI Agents SDK, how is the emotional context managed?

The lookupmusicalcontext tool pulls metadata that links specific harmonic patterns to common moods or genres. This lets your agents understand the intended feel of a piece.

Analyze complex musical theory and emotional context using your OpenAI Agents SDK.

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Connect Chord Progression Analyzer MCP to OpenAI Agents SDK

Create your Vinkius account to connect Chord Progression Analyzer to OpenAI Agents SDK 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 Chord Progression Analyzer with OpenAI Agents SDK

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Map chords to functional scale degrees

The `analyze_roman_numerals` tool takes a list of named chords and maps them to their corresponding Roman numeral functions relative to any key you specify. This is critical for building structured, theory-based agents. It ensures your agent can consistently reference harmonic relationships regardless of the input format.

Determine underlying harmonic patterns

Need to know if a progression is resolving or building tension? The `classify_progression` tool analyzes a sequence of Roman numerals to identify the overarching functional pattern. It provides the theoretical structure, moving beyond simple chord identification. This lets your agent predict the musical intent—is it a pre-chorus lift or a stable verse rhythm?

Retrieve style and emotional context

The `lookup_musical_context` tool pulls metadata associated with a specific progression type. You get stylistic notes and emotional indicators right alongside the technical analysis. It's like having an instant musicologist on call. It gives your agent the full picture, pairing pure theory with real-world musical feeling.

Setup guide

Set up Chord Progression Analyzer MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Chord Progression Analyzer tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Chord Progression Analyzer tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Chord Progression Analyzer tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Chord Progression Analyzer Agent",
            instructions="You have access to Chord Progression Analyzer tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Chord Progression Analyzer MCP in OpenAI Agents SDK

The Analyzer provides structured music data that your agents can process predictably. It converts vague chord names into concrete Roman numerals, giving you reliable inputs for subsequent analysis steps.

You can classify progressions to determine if they represent a stable movement or if they are building toward tension. The tool identifies foundational harmonic relationships, which is key for musical structure.

Yes. It handles named chords via `analyze_roman_numerals` and then uses the resulting Roman numerals to classify patterns, making it highly adaptable for multi-step agent tasks.

The `lookup_musical_context` tool pulls metadata that links specific harmonic patterns to common moods or genres. This lets your agents understand the intended feel of a piece.

It processes raw chord sequences, converts them into Roman numerals, and outputs classified harmonic patterns. This gives you structured musical knowledge for your agent to act on.

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