"Apple Music" matching MCP servers:

Provides MCP clients typed tools for Apple Ads Platform research, reporting, auditing, and receipt-gated campaign management with a local-first, read-only-by-default safety model.

Owner-side Apple Podcasts analytics over the Podcasts Connect Reporter protocol: plays, unique and engaged listeners, followers, and per-episode listening for a show you own. Not the public iTunes catalog — this is the data Apple's hosting API does not expose.

Mogut — open-source, read-only MCP server for Apple App Store ASO and growth intelligence: keyword research, competitor analysis, review mining, pricing, localization, and reports.

Enables podcast discovery and analysis by searching Apple's catalogue, retrieving chart rankings by country, reading listener reviews, parsing and validating RSS feeds, and pulling owner analytics.

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.

A remote MCP server that gives AI agents structured access to Google Play and the Apple App Store — search apps, fetch metadata, pull reviews.

Local-first MCP server that gives Claude Code web search, page reading, video transcription, and image analysis — without paid API keys. Runs SearXNG + whisper.cpp natively on Apple Silicon for zero-cost, low-latency research workflows.

An app intelligence query engine that enables analysis of over 1 billion reviews from Google Play and the Apple App Store. It provides tools for sentiment analysis, keyword rankings, competitive comparisons, and time-series forecasting across 250,000+ apps.

Enables app intelligence across Google Play and the Apple App Store, including details, reviews, and search via a unified API.

Provides MCP tools to search and retrieve Apple App Store and Google Play app data, including app details, reviews, charts, developer info, and ASO keyword/rank estimates.

An open-source MCP server for live Apple App Store competitor research, enabling AI agents to search apps, fetch metadata, compare competitors, and retrieve reviews and top charts as structured JSON.

Gives AI agents live access to Apple App Store reviews: search the App Store, pull customer reviews for any iOS app, and turn them into insights like rating distribution, average rating per version, top complaint keywords, representative quotes, and side-by-side competitor comparisons.

Enables AI agents and humans to inspect a language model's internals through activations, sparse-autoencoder features, steering, and ablation, currently targeting Gemma 2 2B with Gemma Scope on Apple Silicon. The current server exposes run_prompt to report top SAE features per token and across text with Neuronpedia labels, with more tools planned.

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 document and image parsing to extract text, tables, and formulas from PDFs, screenshots, and scanned documents. Features OCR capabilities, table recognition, LaTeX formula conversion, and MLX acceleration optimized for Apple Silicon.

Enables AI agents to query SensorTower's APIs for mobile app market intelligence, including download and revenue estimates, store leaderboards, App Store featuring and ASO keywords, reviews, Apple Search Ads, and audience insights across roughly 76 endpoints. It normalises the API's unit, shape, and error quirks so results arrive clean, capped for model context, and with actionable error hints.

An MCP server that provides comprehensive market intelligence by analyzing data from both the Apple App Store and Google Play Store, enabling users to research apps, track market trends, study competitors, and understand user feedback across mobile marketplaces.

Heimdall — MCP server for the Apple App Store Connect API & App Store Server API (StoreKit 2). 982 tools generated from Apple's official OpenAPI spec. Client-agnostic: Claude, Codex, Cursor, and any MCP client.

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.