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"Apple TV" matching MCP servers:

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    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.
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    Apache 2.0
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    Provides access to Apple's official developer documentation, frameworks, APIs, and WWDC session transcripts across all Apple platforms. It enables AI assistants to search technical guides, sample code, and platform compatibility information using natural language queries.
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    MIT
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    Sift enables AI assistants to search all of Apple Mail locally at high speed, including bodies and PDFs, returning collapsed threads with quoted replies removed, without sending data anywhere.
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    MIT
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    MCP server that provides Danish TV guide data, enabling AI assistants to answer queries about TV schedules, channel listings, and programme searches.
    4
    MIT
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    Enables AI assistants to read, search, and create notes in Apple Notes on macOS via JXA, with fast bulk operations and a compact schema.
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    MIT
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    An MCP server that lets an AI assistant read your pre-installed macOS Apple Stocks app — its watchlist and its cached quotes — and open symbols in the app to add them.
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    MIT
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    Local-first MCP server that reads Apple Health export files (export.xml/zip) and exposes activity, sleep, HRV, and workout data to AI agents, keeping all data on your machine.
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    MIT
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    Gives Claude (or any LLM) full control over Apple Mail — read, search, compose, reply, move, flag, and delete messages — via AppleScript on your local machine, with no cloud intermediary.
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    MIT
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    Enables Claude to manage Apple Reminders on macOS, including creating, reading, updating, deleting, and searching reminders across multiple lists with due dates, priorities, and notes.
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    MIT
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    A local-only server that enables AI agents to create, read, search, and organize Apple Notes directly on macOS. It supports folder management, note formatting, and checklists using native automation to ensure data remains private and local.
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