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How to Use the Chord Constructor MCP in Vercel AI SDK

View real-time chord analysis data streams directly into your Vercel AI SDK app.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vinkius runs on Vercel AI SDK

Connect Chord Constructor MCP to Vercel AI SDK

Create your Vinkius account to connect Chord Constructor to Vercel AI 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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Key Capabilities

Structured Parsing for UI Rendering

Need to show users exactly what a chord is made of? You can convert any standard notation string using `parse_chord_string`. This tool breaks the input down into root notes, intervals, and normalized names. Your agent gets structured data immediately, letting you display results without a loading spinner. This makes building complex musical interfaces simple. Instead of just spitting out text, your app receives discrete components—like knowing that 'Cmaj7' means C-E-G-B—and handles the visualization itself.

Contextualizing Chord Function

Figure out where a chord fits in the key. The `determine_harmonic_role` function tells you if a chord acts as tonic, subdominant, or dominant within a given musical context. This is crucial for any app that analyzes song structure. It doesn't just name the role; it grounds it. Knowing this functional relationship allows your agent to guide the user through composition rules and harmonic expectations.

Mapping Permutations and Textures

The `get_chord_inversions` function calculates every possible way a chord can be voiced across different bass notes. It returns both the full stack of notes and which note serves as the bass, letting you build out variations on a single idea. If you want to show different musical textures, use `generate_voicings`. This tool arranges a set of notes into specific 'open' or 'closed' voicings. It gives your front end the precise data needed for rendering accurate chord diagrams.

Setup guide

Set up Chord Constructor MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Chord Constructor tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Chord Constructor transactions",
});

console.log(text);
await mcpClient.close();

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 Vercel AI SDK

The MCP analyzes chords by first breaking down notation strings and then determining the functional role. You can stream these steps directly into your UI, giving users visibility into exactly how the chord is being analyzed.
Yes. The `get_chord_inversions` tool calculates every possible permutation of a chord, returning the necessary details about which note acts as the bass and the full stack of accompanying notes.
It does. The `generate_voicings` tool arranges a set of notes into specific 'open' or 'closed' musical textures, giving you precise data to render accurate chord diagrams in real time.
The tool returns a structured set of all possible chord inversions. This includes knowing which note is acting as the bass and confirming the full stack of notes that accompany it.
This MCP Server handles raw musical notation strings and calculated harmonic roles, which are abstract compositional elements.

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