AcoustID 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 AcoustID 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 AcoustID, 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 AcoustID MCP Server
Connect to AcoustID and identify music from audio fingerprints through natural conversation — no API key needed for basic use.
The Vercel AI SDK gives every AcoustID 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
- Song Identification — Identify songs from audio fingerprints (like Shazam)
- Recording Search — Search for recordings by name, artist or MusicBrainz ID
- MBID Lookup — Find all AcoustIDs linked to a MusicBrainz recording
- Metadata Lookup — Get full metadata for recordings including artists and release groups
- Fingerprint Submission — Submit new audio fingerprints to expand the database
The AcoustID 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 AcoustID to Vercel AI SDK via MCP
Follow these steps to integrate the AcoustID 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 AcoustID and passes them to the LLM
Why Use Vercel AI SDK with the AcoustID MCP Server
Vercel AI SDK provides unique advantages when paired with AcoustID 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 AcoustID integration everywhere
Built-in streaming UI primitives let you display AcoustID 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
AcoustID + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AcoustID MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AcoustID in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AcoustID tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AcoustID capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AcoustID through natural language queries
AcoustID MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect AcoustID to Vercel AI SDK via MCP:
get_recording_metadata
Returns all associated MusicBrainz recordings, artists, release groups and fingerprints linked to this AcoustID. Get full metadata for a recording by AcoustID
lookup_by_fingerprint
Returns matching recordings from the AcoustID database with song titles, artists, MusicBrainz IDs and match confidence scores. Requires the fingerprint string and audio duration in seconds. Use meta="recordings" for full recording details. Identify a song by audio fingerprint
search_by_mbid
Returns all AcoustID fingerprints linked to that MusicBrainz recording, useful for finding multiple audio fingerprints of the same song. Search for AcoustIDs by MusicBrainz ID
search_by_recording
Returns matching recordings with AcoustID, MusicBrainz ID, title and artist name. Useful for finding the AcoustID of a known song. Search for recordings by name and/or artist
submit_fingerprint
Requires the Chromaprint fingerprint string and audio duration. Optionally include recording name and artist for new songs. Returns the newly created AcoustID. Submit an audio fingerprint to AcoustID
Example Prompts for AcoustID in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AcoustID immediately.
"Search for 'Bohemian Rhapsody' by Queen."
"Search recordings by Daft Punk."
"Get metadata for AcoustID 0e5e5b5e-."
Troubleshooting AcoustID MCP Server with Vercel AI SDK
Common issues when connecting AcoustID to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAcoustID + Vercel AI SDK FAQ
Common questions about integrating AcoustID 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 AcoustID 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 AcoustID to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.