TIDAL Developer API MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TIDAL Developer API through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using TIDAL Developer API, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About TIDAL Developer API MCP Server
Empower your AI agent to orchestrate your entire music research and discography auditing workflow with the TIDAL Developer API, the comprehensive source for high-fidelity audio metadata. By connecting TIDAL to your agent, you transform complex music searches into a natural conversation. Your agent can instantly search for albums, audit artist catalogs, and retrieve track lists without you ever touching a music app. Whether you are conducting industry research or managing local playlist constraints, your agent acts as a real-time musical consultant, ensuring your data is always comprehensive and up-to-the-minute.
The Vercel AI SDK gives every TIDAL Developer API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Album Auditing — Search for thousands of albums by title or artist and retrieve detailed metadata, including track counts and durations.
- Artist Oversight — Audit comprehensive artist profiles and discographies to maintain a clear view of musical distribution and scale.
- Track Discovery — Query all tracks belonging to specific albums to understand the thematic distribution of music instantly.
- Metadata Intelligence — Retrieve high-resolution identifiers and duration markers for any musical record to assist in deep-dive classification.
- Operational Monitoring — Check API status to ensure your music research workflow is always operational.
The TIDAL Developer API MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect TIDAL Developer API to Vercel AI SDK via MCP
Follow these steps to integrate the TIDAL Developer API MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 5 tools from TIDAL Developer API and passes them to the LLM
Why Use Vercel AI SDK with the TIDAL Developer API MCP Server
Vercel AI SDK provides unique advantages when paired with TIDAL Developer API through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same TIDAL Developer API integration everywhere
Built-in streaming UI primitives let you display TIDAL Developer API tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
TIDAL Developer API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TIDAL Developer API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TIDAL Developer API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TIDAL Developer API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TIDAL Developer API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TIDAL Developer API through natural language queries
TIDAL Developer API MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect TIDAL Developer API to Vercel AI SDK via MCP:
check_api_status
Check if the TIDAL Developer service is operational
get_album_tracks
Get all tracks belonging to a specific album by ID
get_artist_albums
Get all albums for a specific artist by ID
search_tidal_albums
Search for albums on TIDAL by name or artist
search_tidal_artists
Search for artists on TIDAL
Example Prompts for TIDAL Developer API in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TIDAL Developer API immediately.
"Search for album 'Lemonade' by Beyoncé using TIDAL."
"What are the tracks in the album with ID '12345'?"
"Search for artist 'Daft Punk' on TIDAL."
Troubleshooting TIDAL Developer API MCP Server with Vercel AI SDK
Common issues when connecting TIDAL Developer API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTIDAL Developer API + Vercel AI SDK FAQ
Common questions about integrating TIDAL Developer API MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect TIDAL Developer API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect TIDAL Developer API to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.