"Playing music" matching MCP servers:

A multi-interface music analysis server providing MCP, HTTP, CLI, and Python interfaces for music21-based analysis.

Read-only MCP server over the charted data of Leimroth et al. (2026), a scoping review of EEG and ECG in music listening. Exposes the review's eligibility criteria, search strategy, reporting gaps, and per-study data for its 18 included studies.

Enables agents to query live artificialanalysis.ai data — leaderboards, model digests, benchmarks, pricing, cost-per-task, speed, provider endpoints, and image/video/speech/music arenas — through token-efficient table tools that need no API key. It works from the site's public RSC payloads by default, with an optional JSON-API backend (and automatic fallback) for capability and coding/agentic indexes.

Enables MCP-capable agents to turn a small business's public site summary and a few cultural seed terms into a taste-context brief, resolving seeds into cross-domain taste entities in music, film, brands and places, then returning a labelled fact table, inference-marked messaging ideas and a tool-call trace. It exposes a tool-call pipeline plus a scenarios listing over Streamable HTTP, with a fixtures mode that serves clearly labelled sample data when live Qloo calls are unavailable.