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Beatport MCP Server

MCP Server

Music discovery made easy via Beatport API

Stale(55)
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Updated Jun 21, 2025

About

An MCP server that exposes the full Beatport API for tracks, artists, releases, charts, and more. It supports simple authentication, flexible transport (stdio or HTTP), and leverages the official OpenAPI spec for streamlined integration.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Beatport MCP Server in Action

Beatport MCP Server bridges the gap between AI assistants and the rich catalog of Beatport, a leading digital music marketplace. By exposing the full breadth of the Beatport OpenAPI through the Model Context Protocol, it allows developers to tap into tracks, artists, labels, releases, charts, and more directly from conversational agents like Claude. This eliminates the need to write custom API clients or handle OAuth flows manually, streamlining the integration of music discovery into AI workflows.

The server is built around a simple authentication model that supports both username/password (currently placeholder) and OAuth2 bearer tokens, with automatic token refresh. Once authenticated, the MCP server generates a comprehensive set of tools that mirror Beatport’s endpoints. These tools are organized into logical groups—catalog, charts & playlists, and search & discovery—providing granular access to artist lists, track metadata, release details, genre browsing, and chart rankings. Developers can further fine‑tune the exposed toolset by filtering on tags, resource paths, or HTTP methods, ensuring that only relevant capabilities are available to the assistant.

Key features include dual transport support (stdio for local development and HTTP for remote clients), a fully OpenAPI‑driven tool generation pipeline, and optional dynamic tooling that loads only requested endpoints. The server also offers pagination support and rich metadata retrieval, enabling assistants to present users with detailed track information or curated playlists. Because the MCP protocol handles context and state, AI assistants can seamlessly chain queries—such as searching for a specific BPM range after filtering by genre—without additional code.

In real‑world scenarios, Beatport MCP Server empowers music producers, DJs, and curators to build AI‑powered recommendation engines, playlist generators, or discovery assistants that can answer questions like “Find all tech house tracks released in 2024” or “Show me the top 10 tracks on the Drumcode label.” By integrating directly into Claude Desktop or any MCP‑compatible client, developers can craft conversational experiences that surface up-to-date music data without wrestling with API keys or rate limits. The server’s transparent toolset and automatic authentication make it a standout solution for anyone looking to embed authoritative Beatport content into intelligent applications.