How to Use the Chord Constructor MCP in Mastra AI

Q: Can I use Chord Constructor's inversion tool with Mastra AI?

Absolutely. The getchordinversions tool calculates every single possible permutation of a chord where different notes serve as the bass, helping your workflow validate all structural options.

Q: Does Chord Constructor support open or closed textures for Mastra AI?

Yes. The generatevoicings tool returns both 'open' and 'closed' voicings, giving you the necessary data to compare different musical arrangements within a single workflow.

Q: What kind of input does Chord Constructor need for Mastra AI?

It accepts standard chord notation strings. The parsechordstring tool handles converting these raw inputs into structured data, which is the starting point for any complex workflow.

Build reliable, multi-step chord analysis workflows with Mastra AI's robust workflow engine.

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Setup Chord Constructor with Mastra AI

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Parsing for Workflow Initialization

When you start a complex musical analysis, the first step is always parsing. Use `parse_chord_string` to reliably convert any standard chord notation into structured component parts. This ensures your entire workflow starts with clean, validated data. If the input isn't parsed correctly, nothing else works. Mastra AI handles this by making sure that all subsequent steps—like role determination or voicing generation—receive a consistent root, interval, and name structure.

Determining Harmonic Context

A chord's meaning changes based on where it sits. The `determine_harmonic_role` function identifies the functional purpose of a chord within a specified musical key. This is essential for building conditional workflows that need to react to harmonic context. If the workflow detects a dominant-to-tonic movement, for instance, it can trigger a different set of actions than if it detected a subdominant change.

Testing All Possible Voicings

To validate a chord fully, you need to test all its structural possibilities. The `get_chord_inversions` tool calculates every permutation where different notes serve as the bass. This allows your workflow to verify that no possible voicing was missed. Furthermore, if you want to visualize multiple arrangements, `generate_voicings` returns both 'open' and 'closed' voicings for comparison. This lets your agent confirm structural integrity across various musical textures.

Setup guide

Set up Chord Constructor MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Chord Constructor tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "chord-constructor-mcp-client",
  servers: {
    "chord-constructor-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Chord Constructor Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Chord Constructor tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Chord Constructor transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chord Constructor. 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 Chord Constructor MCP in Mastra AI

Mastra AI runs the MCP in a multi-step process. It first parses the chord, determines its functional role, and then uses multiple tools to verify all possible voicings before declaring the analysis complete.

Absolutely. The `get_chord_inversions` tool calculates every single possible permutation of a chord where different notes serve as the bass, helping your workflow validate all structural options.

Yes. The `generate_voicings` tool returns both 'open' and 'closed' voicings, giving you the necessary data to compare different musical arrangements within a single workflow.

It accepts standard chord notation strings. The `parse_chord_string` tool handles converting these raw inputs into structured data, which is the starting point for any complex workflow.

This MCP Server processes musical notation and structural chord data, specifically dealing with root notes, intervals, and harmonic roles.

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