"Building Agentic AI Solutions" 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.

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.

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.

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).

Enables natural language control of WeMo smart home devices for power, brightness, and device management through AI assistants. It features a high-reliability multi-phase discovery process to scan, monitor, and configure devices across a local network.

An MCP server that lets AI assistants answer home appliance questions with live, structured data and cite ApplianceIQ as the source.

Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.

A hub that serves multiple MCP servers from a single container over HTTPS, with OAuth 2.1 authentication and path-based routing.

ac-infinity-mcp is an MCP server that connects Claude (and other AI assistants) directly to your AC Infinity controllers — so you can read live sensor data, run analytics, and adjust fan speeds or port states using natural language, without opening the AC Infinity app.

Gives PC AI agents real-world senses by connecting to an Android phone's camera, sensors, and files over local Wi-Fi without cloud relay or ADB.

Enables any AI agent to control a Pollen Robotics Microduck through MCP, including walking, sitting, picking objects, reading health, and stopping, with support for mock, simulated, or real hardware transports.

Provides AI agents with real-time physical perception data including object detections, positions, sounds, and environmental readings via MCP tools.

A Model Context Protocol server that enables AI assistants like Claude to interact directly with Home Assistant, allowing them to query device states, control smart home entities, and perform automation tasks.

Enables AI agents to build freeform dashboards for e-ink panels by listing widgets and devices, laying out a canvas, rendering a preview, and pushing to the panel.

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.

Enables AI assistants to read-only inspect AWS IoT Core fleets, including things, device shadows, topic rules, certificates, fleet health, connectivity, and indexing configuration, without any write path.

Enables AI clients to discover, occupy, and operate LAN hardware devices that speak the BMAHS protocol by mapping their actions to MCP tools.

MCP server that enables AI agents to control Twinkly lights through natural language, supporting operations like on/off, color, brightness, and effects.

Enables control of SwitchBot devices by name, reducing the risk of AI misidentifying device IDs.

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.