"Amazon Web Services" matching MCP servers:

An unofficial read-only MCP server for Panasonic AiSEG2 home energy management controllers, enabling clients to read live power flow, per-circuit consumption, circuit names, daily totals, and historical energy/cost data from the device's local web interface.

Enables controlling Home Assistant from an MCP client, allowing users to read device states, call services, and run configuration commands via REST and WebSocket.

Lets an MCP client read port, statistics, VLAN and PoE status from TP-Link Easy Smart switches and, when explicitly gated, power-cycle a wedged PoE camera over the LAN without opening the switch's web UI. It talks the switch's HTML/cgi protocol directly, with double-gated writes, dry-run, protected ports, and lockout-aware failure handling.

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 controlling Amazon Blink cameras, including aiming pan/tilt mounts and capturing snapshots, through MCP tools.

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.

An MCP server that enables users to manage their Amazon Alexa shopping lists directly from MCP clients like Claude. It provides tools for listing, adding, updating, and deleting shopping list items through secure Amazon account authentication.

Enables AI assistants to interact with Ring cameras and doorbells through the official Amazon Vision API, supporting device listing, health status, event history, and live WebRTC streaming via natural language.

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.

An MCP server that lets LLMs control Amazon Alexa devices, including announcements, text commands, smart-home group management, routines, and list operations.

Enables interacting with MQTT brokers to publish, subscribe, and manage connections, with a real-time web UI for visual feedback.

Enables MCP-speaking coding agents to talk directly to Home Assistant and the ESPHome dashboard: discovering entities and areas, reading live states, history and logs, rendering Jinja templates, calling services, and creating, editing or triggering automations and dashboards. Also allows ESPHome device configs to be read, validated, compiled and flashed, with all write operations off by default behind an explicit safety policy.

Enables controlling and querying Home Assistant devices and services via natural language. Supports state retrieval, listing states, and calling any Home Assistant service.

Enables controlling Bluesound/BluOS players with transport, volume, multi-room grouping, presets, and search/play across streaming services like TIDAL and TuneIn.

MCP server for controlling and querying Home Assistant via its REST API, exposing tools to get entity states, list all states, and call services.

Enables control of Matter smart-home devices via REST and MCP APIs, supporting lights, sensors, and AC units with federation capabilities.

Enables MCP-compatible LLMs to control Amazon Alexa devices by sending announcements, text commands, and SSML speech, as well as managing smart-home groups, routines, lists, volume, Do Not Disturb, and sensor queries.

Enables MCP-compatible LLMs to control Amazon Alexa devices, including announcements, voice commands, smart-home group management, routines, media playback, and sensor state queries.

Enables AI assistants to publish and subscribe to MQTT topics with configurable transport options (STDIO, Streamable HTTP, SSE), supporting both local development and web deployments with flexible broker 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.