"Building a Flutter and Go Application with PocketBase Backend Deployed on Oracle Cloud" matching MCP servers:

Enables control and management of smart home devices across multiple rooms through specialized MCP servers. Supports lights, thermostats, fans, and ovens with room-specific rules and automatic persistence.

Enables assistants to publish readable replies and status updates to e-ink displays and Home Assistant, with switchable characters and state retrieval through MCP tools.

Provides real-time access to solar inverter data from the SolaX Cloud API, enabling queries of power output, energy yields, battery status, and grid import/export data.

Enables Orb Cloud device management, including listing organizations and devices, retrieving telemetry, triggering speed tests, and configuring temporary data push through natural language.

Enables remote cloud control and live LAN camera access for Bambu Lab 3D printers through 31 MCP tools.

Enables AI assistants to discover and control ZenControl DALI-2 lighting systems through natural language via the ZenControl Cloud API.

Enables remote control of Lovense toys through Claude using natural language commands. Supports vibration patterns, presets, and intensity control from any device via Cloudflare Workers.

Enables AI agents to manage EMQX Cloud through separate Platform and Deployment API connections, covering project and deployment lifecycle, MQTT client, subscription and metric inspection, built-in authentication users and ACL rules, banned lists, retained messages, publishing, and data integration. It is read-only by default, with opt-in flags for write, destructive, and integration operations.

A Multi-Agent Conversation Protocol server that provides an interface to Google's Cloud IoT API, allowing agents to interact with and manage IoT devices and registries through natural language.

Enables AI agents to access an allowlisted set of local Eufy cameras through MediaMTX, providing camera status, single JPEG snapshots, and motion clip listing with frame extraction, without PTZ or cloud APIs.

Enables controlling Lovense toys from the Claude app in natural language by forwarding commands through Lovense's official cloud API from a stateless Cloudflare Worker, with tools for pairing, vibration, thrusting, presets, custom patterns, and emergency stop. Deployment requires only a one-time setup, after which no computer needs to stay on.

Enables Alexa+ to answer spoken questions about a home's energy use and act on them through seven voice-first tools, covering live device status, usage and cost reports, waste detection, savings recommendations, automation listing, device control, and confirmed energy-plan application.

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 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.

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 read-only access to vehicle data via the unofficial Rivian GraphQL API, allowing users to monitor battery levels, OTA updates, and charging status. It provides tools to check vehicle state and user account information directly through Claude.

A collection of personal Model Context Protocol servers for tools like calendar, contacts, flights, home maintenance, iMessage, lawn care, mail, NextDNS, Obsidian search, Google Sheets, UniFi, weather, and YNAB, packaged as a uv workspace with Claude Code and Codex plugin support.

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.