"Plugin for remote command execution to troubleshoot system errors in Minecraft MCP" matching MCP servers:

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 natural language interaction with Unfolded Circle Remote 3/Remote Two for configuration, button mapping, UI editing, and backup/restore.

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 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 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.

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.

Enables Claude, Claude Desktop, and Cursor to read sensor values, monitor device status, and execute real-world actions through Vento boards and agents.

Enables local, cloud-free control of Daikin air conditioners from MCP clients, letting assistants read unit state and adjust power, mode, temperature, fan, louvres, and special modes over the unit's local HTTP API.

A local MCP proxy that connects AI clients to nomos system controllers, allowing registration and switching between them via natural language. Enables smart home control through MCP-compatible AI clients.

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.

Enables remote control of audio playback and system volume on a Raspberry Pi via the Model Context Protocol (MCP).

A Model Context Protocol server that enables AI assistants like Claude to interact with Indigo home automation systems through natural language queries for searching and controlling devices, variables, and actions.

Provides read-only access to Vivint home security systems through an unofficial API. Enables monitoring of system status, devices, sensors, cameras, locks, thermostats, and recent events through natural language.

Enables natural language control of Crestron 4-Series AV systems via MCP tools, connecting Claude to a processor over TCP with TLS authentication.

Enables AI agents to manage Keenetic routers through the same RCI API used by the router's web interface, working directly over the local network without cloud involvement. It supports reading device statuses and executing configuration changes, with confirm, dry-run, and destructive-action safeguards.

Enables AI assistants and agents to query and control a Loxone Miniserver installation via MCP, using existing room and control names without cloud services. Also provides selected LoxBerry information, secured by Loxone login.

Enables agents to drive a Coreflux broker end to end over MQTT: running broker commands, publishing and subscribing to live topics, linting and deploying LoT/.lotnb files in order, uploading and exporting projects, tracing actions, and searching docs. Destructive operations are gated behind safety hooks, and no npm dependencies are required beyond Node.js 20+.

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.

Enables a local Grok Bot to talk to the unofficial MySubaru API over stdio, supporting vehicle status, locate, tire pressure, fuel, odometer, climate presets, and explicit lock/unlock/remote start actions without exposing secrets.

Enables AI agents to interact with Homey home automation systems for managing flows, devices, and zones. Perfect for bulk automation tasks like batch renaming flows, organizing them into folders, and managing devices across zones through natural language.