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androidtvmcp

A Model Context Protocol (MCP) server that provides Android TV remote control functionality to AI assistants and other MCP clients.

Install / Use

claude mcp add pigeek -- npx -y github:pigeek/androidtvmcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

78/100

Supported Platforms

Claude Code
Claude Desktop

Tags

Our assessment of androidtvmcp

androidtvmcp scores 78/100 on our quality scale, 811th of 956 AI & Machine Learning skills we index.

Its MCP Server is 5.9 KB long, well organised into 49 sections with 12 code examples: a thorough specification that gives an agent plenty to work with.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
4/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 91/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

androidtvmcp compared with similar skills

All 4 of these similar skills score higher than androidtvmcp; compare them before choosing.

SkillScoreStarsUpdatedFormat
androidtvmcp (this skill)by pigeek78107mo agoMCP Server
claude-memby thedotmack10099.0ktodayCLAUDE.md
Agent-Reachby Panniantong10094.8k1d agoCLAUDE.md
Understand-Anythingby Egonex-AI10085.8ktodayCLAUDE.md
headroomby headroomlabs-ai10074.8ktodayCLAUDE.md

Frequently asked questions

How do I install androidtvmcp?
Run claude mcp add pigeek -- npx -y github:pigeek/androidtvmcp. The install tabs above show the steps for each supported agent.
Which AI agents does androidtvmcp work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is androidtvmcp safe to use?
It is MIT-licensed and scores 91/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is androidtvmcp still maintained?
The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

AndroidTVMCP - Android TV Remote Control to MCP Bridge

A Model Context Protocol (MCP) server that provides Android TV remote control functionality to AI assistants and other MCP clients.

Overview

AndroidTVMCP bridges Android TV remote control capabilities with the Model Context Protocol, enabling seamless integration of Android TV control into AI-powered workflows and automation systems.

Features

  • Device Discovery: Automatic detection of Android TV devices on the local network
  • Remote Control: Full navigation and playback control capabilities
  • App Management: Launch and switch between Android TV applications
  • State Monitoring: Query device status and current state
  • MCP Integration: Standard MCP protocol compliance for easy integration

Quick Start

Installation

Using Virtual Environment (Recommended)

# Create a virtual environment
python -m venv androidtvmcp-env

# Activate the virtual environment
# On Linux/macOS:
source androidtvmcp-env/bin/activate
# On Windows:
# androidtvmcp-env\Scripts\activate

# Install the package
pip install androidtvmcp

Global Installation

pip install androidtvmcp

Basic Usage

  1. Start the MCP server:
androidtvmcp --host localhost --port 8080
  1. Configure your MCP client to connect to the server

  2. Use Android TV control tools through your AI assistant

Example Commands

  • Navigate: "Move up on the Android TV"
  • Playback: "Pause the current video"
  • Apps: "Launch Netflix on Android TV"
  • Status: "What's currently playing on Android TV?"

Configuration

Create a configuration file config.json:

{
  "devices": {
    "discovery": {
      "enabled": true,
      "timeout": 10
    },
    "connection": {
      "timeout": 5,
      "retry_attempts": 3
    }
  },
  "mcp": {
    "host": "localhost",
    "port": 8080,
    "transport": "stdio"
  },
  "logging": {
    "level": "INFO",
    "file": "androidtvmcp.log"
  }
}

MCP Tools

Navigation Tools

  • atv_navigate: Navigate Android TV interface (up, down, left, right, select, menu, back, home)
  • atv_input_text: Send text input to Android TV

Playback Tools

  • atv_playback: Control media playback (play, pause, stop, fast_forward, rewind)
  • atv_volume: Adjust volume (up, down, mute)

App Management Tools

  • atv_launch_app: Launch specific applications
  • atv_get_apps: List available applications
  • atv_switch_app: Switch between running applications

Device Tools

  • atv_get_devices: List discovered Android TV devices
  • atv_get_status: Get current device status and state
  • atv_power: Power control (on, off, sleep)

MCP Resources

Device Information

  • device://[device_id]/info: Device capabilities and information
  • device://[device_id]/status: Current device status
  • device://[device_id]/apps: Available applications

Current State

  • state://current_app: Currently active application
  • state://playback: Current playback status
  • state://volume: Current volume level

Development

Setup Development Environment

Using Virtual Environment (Recommended)

# Clone the repository
git clone https://github.com/pigeek/androidtvmcp.git
cd androidtvmcp

# Create and activate virtual environment
python -m venv venv

# Activate the virtual environment
# On Linux/macOS:
source venv/bin/activate
# On Windows:
# venv\Scripts\activate

# Install in development mode with dev dependencies
pip install -e ".[dev]"

Alternative Setup

git clone https://github.com/pigeek/androidtvmcp.git
cd androidtvmcp
pip install -e ".[dev]"

Run Tests

pytest

Development Tools

The devtools/ directory contains standalone scripts for manual testing and validation:

cd devtools
python test_command_processor.py  # Test command processor functionality
python test_mcp_client.py         # Test MCP client-server communication
python test_mcp_integration.py    # Test MCP server integration

See devtools/README.md for detailed information about each script.

Code Formatting

black src/ tests/
isort src/ tests/

Type Checking

mypy src/

Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   MCP Client    │◄──►│  AndroidTVMCP   │◄──►│   Android TV    │
│  (AI Assistant) │    │    Server       │    │   Devices       │
└─────────────────┘    └─────────────────┘    └─────────────────┘

Components

  • MCP Server: Handles MCP protocol communication
  • Device Manager: Manages Android TV device discovery and connections
  • Command Processor: Translates MCP requests to Android TV commands
  • Network Layer: Handles Android TV protocol communication

Requirements

  • Python 3.8+
  • Android TV devices on the same network
  • Network connectivity for device discovery

Troubleshooting

Common Issues

  1. Device Not Found

    • Ensure Android TV is on the same network
    • Check firewall settings
    • Verify device discovery is enabled
  2. Connection Failed

    • Check network connectivity
    • Verify Android TV remote control is enabled
    • Try restarting the Android TV device
  3. Commands Not Working

    • Ensure device is powered on
    • Check if device supports the command
    • Verify connection status

Debug Mode

Enable debug logging:

androidtvmcp --log-level DEBUG

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Run the test suite
  6. Submit a pull request

License

MIT License - see LICENSE file for details.

Support

Related Projects

Related Skills

View on GitHub
GitHub Stars10
CategoryAI
Updated7mo ago
Forks4

Languages

Python

Trust signals

91/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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