MusicBrainz MCP Server for Mastra AI 15 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect MusicBrainz through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"musicbrainz": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "MusicBrainz Agent",
instructions:
"You help users interact with MusicBrainz " +
"using 15 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with MusicBrainz?"
);
console.log(result.text);
}
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 MusicBrainz MCP Server
Connect to MusicBrainz, the world's largest open music database, and explore music metadata through natural conversation — no API key needed.
Mastra's agent abstraction provides a clean separation between LLM logic and MusicBrainz tool infrastructure. Connect 15 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Artist Search — Find musicians, bands, orchestras and composers with types, countries and active dates
- Release Search — Search album releases with artists, dates, countries, labels and track counts
- Track Search — Find individual recordings with durations, ISRCs and album info
- Release Groups — Browse canonical albums and singles grouped across different releases
- Label Search — Find record labels and publishers
- Work Search — Search musical compositions distinct from recordings
- Browse — Get all releases by a specific artist or label
The MusicBrainz MCP Server exposes 15 tools through the Vinkius. Connect it to Mastra AI 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 MusicBrainz to Mastra AI via MCP
Follow these steps to integrate the MusicBrainz MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 15 tools from MusicBrainz via MCP
Why Use Mastra AI with the MusicBrainz MCP Server
Mastra AI provides unique advantages when paired with MusicBrainz through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add MusicBrainz without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every MusicBrainz tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
MusicBrainz + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the MusicBrainz MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query MusicBrainz, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed MusicBrainz as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query MusicBrainz on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using MusicBrainz tools alongside other MCP servers
MusicBrainz MCP Tools for Mastra AI (15)
These 15 tools become available when you connect MusicBrainz to Mastra AI via MCP:
browse_releases_by_artist
Returns release titles, dates, countries and labels. Pagination: max 100 results per request. Browse all releases by a specific artist
browse_releases_by_label
Returns release titles, artists, dates and countries. Pagination: max 100 results. Browse all releases by a specific record label
get_artist
Returns name, type, country, life span, disambiguation and more. Optionally include related data with inc parameter: "releases", "release-groups", "recordings", "works", "aliases". Get detailed info for a specific artist by MBID
get_label
Returns label name, type, country, founding date and more. Get detailed info for a specific record label by MBID
get_recording
Returns title, artist, duration, ISRCs, releases it appears on and more. Optionally include: "artists", "isrcs", "releases", "aliases". Get detailed info for a specific recording by MBID
get_release
Returns title, artist, date, country, label, barcode, track listing and more. Optionally include: "artists", "labels", "recordings", "discids", "isrcs", "media". Get detailed info for a specific release by MBID
get_release_group
Returns title, artist, primary type, first release date and more. Optionally include: "artists", "releases", "aliases". Get detailed info for a specific release group by MBID
get_work
Returns work title, writers, type, ISWC, languages and more. Get detailed info for a specific musical work by MBID
search_areas
Returns area names, types (country, city, subdivision, etc.) and ISO codes. Useful for finding area IDs to use in other searches. Search for geographic areas (countries, cities, regions)
search_artists
). Returns artist names, IDs, types (person, group, orchestra, etc.), countries, active dates and disambiguation info. Supports Lucene query syntax for advanced searches. Pagination: max 100 results per request. Search for music artists
search_labels
Returns label names, types (original production, reissue, etc.), countries and founding dates. Pagination: max 100 results. Search for record labels
search_recordings
Returns recording titles, artists, durations, album names and ISRCs. Useful for finding specific track versions and metadata. Pagination: max 100 results. Search for individual track recordings
search_release_groups
Returns titles, artists, primary types (album, single, EP, etc.) and dates. Useful for finding the canonical album/single version. Pagination: max 100 results. Search for release groups (albums, singles, EPs)
search_releases
Returns release titles, artists, dates, countries, labels and track counts. Supports filtering by status (official, promotion, bootleg). Pagination: max 100 results. Search for album releases
search_works
Returns work titles, writers, types (song, opera, symphony, etc.) and ISWCs. Useful for finding composition metadata separate from specific recordings. Pagination: max 100 results. Search for musical works (compositions)
Example Prompts for MusicBrainz in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with MusicBrainz immediately.
"Search for the band Radiohead."
"Show me all albums by Miles Davis."
"Search for the recording of 'Bohemian Rhapsody' by Queen."
Troubleshooting MusicBrainz MCP Server with Mastra AI
Common issues when connecting MusicBrainz to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMusicBrainz + Mastra AI FAQ
Common questions about integrating MusicBrainz MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect MusicBrainz with your favorite client
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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 MusicBrainz to Mastra AI
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.