Vision-capable MCP server for controlling Amazon Fire TV through Home Assistant, providing screenshot-guided observation, remote commands, and app/URI actions via authenticated REST calls.
Enables reading and configuring an Unfolded Circle Remote Two or Remote 3 through the official Core REST API, exposing activities, touchscreen pages, profiles, integration entities, and physical-button mappings to MCP clients.
Enables Claude, Claude Desktop, and Cursor to read sensor values, monitor device status, and execute real-world actions through Vento boards and agents.
Enables remote control of a StackChan robot via MQTT and MCP, allowing AI clients to switch its facial expressions and trigger camera photos for visual feedback.
An MCP server that enables AI assistants to control TVs on a local network through natural language commands. It currently supports Roku devices, allowing users to launch apps, manage playback, and navigate menus.
Lets AI assistants control the physical Return to Dark Tower board game tower via Bluetooth, enabling connection, calibration, sound, lights, drum rotation, seal breaking, and game sequences through natural language.
A Home Assistant Custom Component that provides an MCP server using HTTP transport, allowing AI assistants like Claude to interact with your Home Assistant instance.
An MCP server that lets AI agents control Android TVs via ADB, including searching and playing content across streaming services, managing power and volume, and sending remote control commands.
Enables Claude to create, update, and manage LED patterns on a PixelBlaze controller, including setting brightness and reading device info, through a set of tools that interact with the device's API.
An MCP server that exposes Home Assistant's REST and WebSocket APIs as 182 tools, enabling clients like Claude Code to control lights, climate, media, automations, and more. It also provides a status dashboard and supports running as a Home Assistant app or container.
An MCP server that connects to the Tesla Fleet API, allowing users to control vehicles and retrieve real-time status updates through Claude and other AI assistants. It supports functions such as waking up vehicles, viewing detailed vehicle information, and debugging via both stdio and HTTP/SSE transports.
A Model Context Protocol (MCP) server that connects LLMs to vehicle data via the Eclipse Kuksa Databroker, enabling AI assistants to read and write vehicle signals using the standardized COVESA Vehicle Signal Specification.
A ModelContextProtocol server that enables Claude AI to detect and scan nearby Bluetooth devices, providing Bluetooth sensing capabilities to Claude through a compatible MCP interface.