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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Chord Constructor MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Chord Constructor tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 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.
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
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