"Understanding Temporal Memory in Neuroscience and AI" matching MCP servers:

Enables control of Mijia (Xiaomi) smart home devices through MCP, including querying homes, devices, scenes, and specs, setting properties, running actions and scenes, and issuing speaker commands.

Enables archiving and retrieving GaggiMate espresso shot history, managing bean/grind/dose context periods, monitoring machine state and power sessions, and writing profiles and settings through MCP tools.

MCP server that translates natural language commands into SCARA robot arm control instructions, featuring simulation mode, safety validation, and multiple transport modes (STDIO/HTTP/OAuth).

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 users to control Philips Hue lights through natural language, set moods, save favorites, and learn preferences over time.

Enables AI agents to control Android TVs, TV boxes, phones, and tablets over ADB through MCP tools for scanning and connecting devices, pressing keys, launching apps, opening URLs, searching YouTube, setting alarms and timers, managing volume and power, checking state, and capturing screenshots.

MCP server that provides live facility data access and operational tools, enabling the AI agent to query sensor readings, HVAC status, energy usage, alerts, and execute confirmed maintenance actions.

Exposes MCP tools that let an AI companion control Bluetooth adult toys: setting vibration intensity, running patterns, drawing or writing on a synced canvas so the toy follows the pen, speaking with audio-driven vibration, and listening to or replaying the user's reactions. It works across multiple toy brands via a phone-based Bluetooth relay and a browser remote panel.

Exposes real-time soil sensor metrics as MCP Resources and irrigation valve controls as MCP Tools, enabling AI-driven agronomic decisions with built-in safety guardrails.

Enables autonomous AI agents to safely inspect, configure, and visually validate remote Home Assistant dashboards, automations, and scripts.

Provides two Model Context Protocol servers that enable controlling IoT devices and managing persistent memory storage with semantic search capabilities.

MCP server for Homebridge that enables AI assistants to control smart home accessories, manage plugins, edit configuration, and monitor the Homebridge server.

A comprehensive MCP server that enables AI assistants to interact with Home Assistant, control smart home devices, query states, execute services, and manage automations via natural language.

Enables natural-language control of DK-META2 devices through local BLE for vibration, linear extension, and rotation. It also supports scanning, connecting, status checks, and safe stop/disconnect operations without cloud access.

A control server that enables AI assistants to interact with Ecovacs robot vacuums through MCP protocol, supporting device listing, cleaning control, charging control, and status queries.

A professional MCP server for serial port communication, enabling AI assistants to list, connect, send/receive data, and manage serial connections with embedded systems, IoT devices, and hardware debugging hardware.

A versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices.

MCP server for controlling a Nabaztag rabbit's ears, LEDs, and voice pipeline, enabling AI tool-use via Claude Desktop/Code.

Enables AI agents to correlate smart-home sensor events into risk-assessed incidents and retrieve deterministic safety-policy decisions through MCP tools, without autonomous physical actions.

MCP server for the Calcifier smart camping lamp, enabling control of lamp state, brightness, color temperature, mode, and battery charging via natural language with Claude.

Enables natural language control of ElephantRobotics MyCobot series robotic arms (especially ultraArmP340) through MCP protocol, with simulation mode and safety features.

MCP server for Loxone Miniserver - expose smart-home rooms, controls, and commands to Claude and other AI assistants

Simulates a network of IoT environmental sensors and exposes their data and controls as MCP tools that any MCP client can query and act on.

A Model Context Protocol (MCP) server that allows AI assistants like Claude to control real smart bulbs via UDP network communication, featuring voice commands, AI reasoning, and direct hardware control.

Enables AI assistants to fetch live environmental telemetry, verify local Fire TV and smart-meter hardware over TCP sockets, calibrate display and audio settings, orchestrate smart-home scenes, calculate energy savings, and answer natural-language questions about its capabilities.

Enables AI agents to control Home Assistant smart home devices via MCP, with zero external dependencies. Supports calling services, getting states, and looking up service parameters.

Enables remote control of a virtual LUMEI lamp via Claude, allowing users to adjust power, brightness, mode, tracking, and view product info or battery status.

Enables secure remote control of Home Assistant and Life Dashboard/DSH via MCP, supporting entity state queries, whitelisted entity/scene control, lifecycle overview reading, DSH workspace summaries, and follow-up sending.

Enables context-aware smart-home event triage by normalizing Ring edge telemetry, correlating wearable notes and schedules, invoking AWS Bedrock reasoning, selectively interrupting Fire TV with picture-in-picture alerts, and archiving incidents to S3.

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.