Skip to main content

MCP server for controlling Apple TV, HomePod, and AirPlay devices via pyatv

Project description

mcp-pyatv

MCP server for controlling Apple TV, HomePod, and AirPlay devices via pyatv.

License: MIT Python 3.11-3.13


What It Does

mcp-pyatv is an MCP (Model Context Protocol) server that bridges any MCP client to Apple TV, HomePod, and AirPlay devices on your local network. It wraps pyatv -- the open-source Python library that implements the actual Apple TV and AirPlay protocols -- and exposes its functionality as MCP tools.

This lets you control your devices using natural language through Claude Desktop, Claude Code, Cursor, or any other MCP-compatible client.

This project does not implement any device protocols. All protocol-level communication is handled by pyatv. mcp-pyatv is purely the MCP bridge layer.

Supported Devices

  • Apple TV -- all generations, including tvOS 15+
  • HomePod / HomePod Mini
  • AirPort Express
  • Third-party AirPlay speakers
  • macOS (Music/iTunes)

Quick Start

Install

pip install mcp-pyatv

Or run directly without installing:

uvx mcp-pyatv

Claude Desktop Configuration

Add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "apple-tv": {
      "command": "uvx",
      "args": ["--python", "python3.13", "mcp-pyatv"]
    }
  }
}

Note: Claude Desktop may not inherit your shell's PATH. If you get a "command not found" error, use the full path to uvx (run which uvx in your terminal to find it):

{
  "mcpServers": {
    "apple-tv": {
      "command": "/Users/you/.local/bin/uvx",
      "args": ["--python", "python3.13", "mcp-pyatv"]
    }
  }
}

Local Development

If you've cloned the repo and want to run from source:

{
  "mcpServers": {
    "apple-tv": {
      "command": "/path/to/venv/bin/python",
      "args": ["-m", "mcp_pyatv.server"],
      "env": {
        "PYTHONPATH": "/path/to/mcp-pyatv/src"
      }
    }
  }
}

First Use / Pairing

On first use, just say "Pair my Apple TV" to your MCP client. The server handles the rest:

  1. It scans your network and discovers devices.
  2. A PIN appears on your TV screen.
  3. You tell the client the PIN.
  4. Credentials are stored locally and persist across sessions.

You only need to pair once per device. HomePods do not require pairing.

Available Tools

mcp-pyatv exposes 32 tools organized by category:

Discovery

Tool Description
scan_devices Scan the local network for Apple TV and AirPlay devices
device_info Get detailed information about a specific device

Pairing

Tool Description
start_pairing Begin the pairing process with a device
finish_pairing Complete pairing by submitting the PIN shown on screen

Playback

Tool Description
play Resume playback
pause Pause playback
play_pause Toggle play/pause
stop Stop playback
next_track Skip to next track
previous_track Go to previous track
skip_forward Skip forward by a number of seconds
skip_backward Skip backward by a number of seconds
set_position Seek to a specific position
set_shuffle Set shuffle mode
set_repeat Set repeat mode

Navigation

Tool Description
navigate Send remote control commands -- supports up, down, left, right, select, menu, home, top_menu with single_tap, double_tap, or hold actions

Audio

Tool Description
get_volume Get the current volume level
set_volume Set volume to a specific level
volume_up Increase volume
volume_down Decrease volume

Apps

Tool Description
list_apps List all installed apps
launch_app Launch an app by name or bundle ID

Power

Tool Description
turn_on Turn on the device
turn_off Turn off / put the device to sleep
power_state Check if the device is on or off

Keyboard

Tool Description
set_text Type text into a text field (e.g., search boxes)
get_text Get the current text field contents
clear_text Clear the current text field

Streaming

Tool Description
play_url Stream media from a URL to the device
stream_file Stream a local file to the device

Media Info

Tool Description
now_playing Get information about what's currently playing
get_artwork Get the artwork for the currently playing media

Example Conversations

Checking what's playing:

"What's playing on my Apple TV?"

The server calls scan_devices to find your Apple TV, then now_playing to get the current track/show info.

Launching an app:

"Open Netflix"

The server calls launch_app with the Netflix bundle ID.

Adjusting volume:

"Set the volume to 40"

The server calls set_volume with level 40.

Pairing a new device:

"Pair my Apple TV"

The server calls scan_devices, then start_pairing. A PIN appears on your TV. You say "The PIN is 1234", and the server calls finish_pairing to complete the process.

Configuration

Variable Description Default
MCP_PYATV_STORAGE_PATH Override the file path where pairing credentials are stored ~/.pyatv.conf

The default credential file (~/.pyatv.conf) is shared with pyatv's atvremote CLI tool. If you've already paired devices using atvremote, mcp-pyatv will pick up those credentials automatically.

Known Limitations

  • play_url broken on tvOS 26.x -- upstream pyatv issue (#2821)
  • stop ignored by some apps -- YouTube and certain other apps do not respond to the stop command
  • get_artwork depends on the app -- not all apps expose artwork metadata
  • Same network required -- your machine must be on the same WiFi network as your devices
  • set_shuffle / set_repeat -- require an active music playback queue to work
  • Python 3.14 -- not currently supported due to asyncio compatibility issues in pyatv

Built On

This project is built on pyatv by Pierre Stahl -- the Python library that implements the Companion, AirPlay, RAOP, MRP, and DMAP protocols used by Apple devices. All protocol-level communication, device discovery, and pairing logic happens inside pyatv. mcp-pyatv provides only the MCP server layer on top.

For protocol details, bug reports related to device communication, or to contribute to the underlying library, visit:

License

MIT -- see LICENSE for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_pyatv-0.2.0.tar.gz (153.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_pyatv-0.2.0-py3-none-any.whl (16.8 kB view details)

Uploaded Python 3

File details

Details for the file mcp_pyatv-0.2.0.tar.gz.

File metadata

  • Download URL: mcp_pyatv-0.2.0.tar.gz
  • Upload date:
  • Size: 153.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.8 {"installer":{"name":"uv","version":"0.10.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for mcp_pyatv-0.2.0.tar.gz
Algorithm Hash digest
SHA256 c2548241dc46f3f1147a7646e72f6a1f9405cc92cb7ac2139ad7d779eb8d20e0
MD5 76dcc1d81e798fcd4af8e0216fa45d87
BLAKE2b-256 a64ab431bfc167bd7f0effe17dc259e1a1be57946039cf5bdb68373ae63a3fb9

See more details on using hashes here.

File details

Details for the file mcp_pyatv-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: mcp_pyatv-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 16.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.8 {"installer":{"name":"uv","version":"0.10.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for mcp_pyatv-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 84ec039c741ffbf64a8b65f79f66096446813a9410fc28b83a71b8be1eb771bc
MD5 2d2e96fc5b12cec9abc06088576f1cca
BLAKE2b-256 1ecb7508fe82b759d863a08d3ef317b56c45e6c2de768c31fb3d8ed73d2d463d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page