How to Use the Chord Substitution Finder MCP in OpenAI Agents SDK

Q: Does Chord Substitution Finder support complex progressions with OpenAI Agents SDK?

Yes. You can feed it a lengthy progression and use analyzeprogressiontension to see the entire arc plotted out. The agent won't just look at chords in isolation; it sees how tension builds over time.

Q: What if I need to check multiple substitutions? Does Chord Substitution Finder handle that with OpenAI Agents SDK?

You can use findsubstitutions to get a list of options, and then iterate through that list, calling getsubstitutiondetail for each one. This gives your agent comprehensive control over the harmonic suggestions.

Validate complex jazz harmonies with your OpenAI Agents SDK.

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Connect Chord Substitution Finder MCP to OpenAI Agents SDK

Create your Vinkius account to connect Chord Substitution Finder 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 Substitution Finder with OpenAI Agents SDK

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Analyzing Tension for OpenAI Agents SDK

The `analyze_progression_tension` tool calculates the harmonic tension arc of any chord progression. You feed it a series of chords, and your agent outputs exactly where the musical stress points land in the sequence. This means you can build multi-step workflows that identify the exact spot a piece needs more color or resolution. It helps structure an argument about why certain passages feel tense before they resolve.

Finding Substitutions with OpenAI Agents SDK

Need to swap out a chord? The `find_substitutions` tool looks up every available harmonic replacement for a given chord. It uses established theory rules, giving your agent multiple options—not just the obvious ones. This makes it easy to build agents that suggest richer material when a user's input feels too basic or predictable.

Getting Detail from MCP Server

When you get a potential substitute, you need context. The `get_substitution_detail` tool pulls deep-dive explanations for any specific chord substitution found. It doesn't just name the chords; it explains *why* they work together. This is critical for production agents because it allows your system to not only suggest changes but also justify them, building trust in the final output.

Setup guide

Set up Chord Substitution Finder 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 Substitution Finder tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Chord Substitution Finder 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 Substitution Finder 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 Substitution Finder Agent",
            instructions="You have access to Chord Substitution Finder 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 Substitution Finder MCP in OpenAI Agents SDK

It improves by letting you chain actions. Your agent first uses `analyze_progression_tension` to pinpoint a weak spot, then runs `find_substitutions` on that specific chord, and finally presents the resulting details using `get_substitution_detail`. This full pipeline validates sophisticated musical ideas.

Absolutely. Since this MCP is designed for autonomous agents, you can integrate it directly into your deployed workflow. The built-in guardrails validate that the results from `find_substitutions` are always formatted correctly before passing them downstream.

Yes. You can feed it a lengthy progression and use `analyze_progression_tension` to see the entire arc plotted out. The agent won't just look at chords in isolation; it sees how tension builds over time.

The MCP operates via a zero-trust proxy. It only handles musical theory data, specifically chord names and progressions. Your client's private keys never sit on the disk; they are used in transit.

You can use `find_substitutions` to get a list of options, and then iterate through that list, calling `get_substitution_detail` for each one. This gives your agent comprehensive control over the harmonic suggestions.

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