AudD Music Recognition MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AudD Music Recognition 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 AudD Music Recognition, 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 AudD Music Recognition MCP Server
Equip your AI agent with the power of AudD, the leading music recognition and data platform. This integration allows your agent to identify songs from audio URLs, search for track information by title or artist, and retrieve full lyrics or snippets. Your agent can also find direct streaming links for identified tracks on platforms like Spotify and Apple Music. Whether you are identifying a background track from a video or searching for that one song with a specific lyric, your agent acts as a dedicated musicologist through natural conversation.
The Vercel AI SDK gives every AudD Music Recognition tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Music Recognition — Identify songs from publicly accessible audio URLs with high precision.
- Lyrics Search — Find full lyrics or search for songs using fragments of text.
- Metadata Retrieval — Fetch detailed track, artist, and album information including release dates and labels.
- Streaming Links — Get direct URLs to listen to identified tracks on major music platforms.
- Timecode Identification — Start recognition from a specific offset to identify songs in long audio files.
The AudD Music Recognition MCP Server exposes 8 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 AudD Music Recognition to Vercel AI SDK via MCP
Follow these steps to integrate the AudD Music Recognition 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 8 tools from AudD Music Recognition and passes them to the LLM
Why Use Vercel AI SDK with the AudD Music Recognition MCP Server
Vercel AI SDK provides unique advantages when paired with AudD Music Recognition 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 AudD Music Recognition integration everywhere
Built-in streaming UI primitives let you display AudD Music Recognition 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
AudD Music Recognition + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AudD Music Recognition MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AudD Music Recognition in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AudD Music Recognition tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AudD Music Recognition capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AudD Music Recognition through natural language queries
AudD Music Recognition MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect AudD Music Recognition to Vercel AI SDK via MCP:
add_monitored_stream
Add an audio stream to monitor for music
get_lyrics
Get full lyrics for a specific track
list_monitored_streams
List all monitored audio streams
recognize_at_time
Useful for long files. Recognize music starting at a specific offset
recognize_music
Returns artist, title, album, and streaming links (Apple Music, Spotify, etc.). Recognize a song from an audio URL
search_lyrics
Returns matched lyrics and song metadata. Search for song lyrics by text fragment
search_music
Search for a song by text query
set_stream_callback_url
Set the webhook URL for stream monitoring results
Example Prompts for AudD Music Recognition in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AudD Music Recognition immediately.
"Identify the song at this URL: https://example.com/audio.mp3"
"Search for lyrics containing 'never gonna give you up'."
"Find the artist and album for the song 'Stairway to Heaven'."
Troubleshooting AudD Music Recognition MCP Server with Vercel AI SDK
Common issues when connecting AudD Music Recognition to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAudD Music Recognition + Vercel AI SDK FAQ
Common questions about integrating AudD Music Recognition 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 AudD Music Recognition 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 AudD Music Recognition to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.