"How to retrieve data from Power BI" matching MCP servers:

Connects AI assistants like Claude to Blue Iris security camera software, enabling natural language queries about camera status, alerts, and configurations.

MCP server for controlling and monitoring Digital Loggers Power Switch Pro devices, enabling outlet control, power monitoring, and device management through natural language.

Enables access to SORACOM IoT platform data including Harvest sensor data, file storage, SoraCam camera footage/events, and SIM statistics through authenticated API calls.

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 AI agents to control Digital Loggers (DLI) Web Power Switches for hardware discovery, status querying, and power operations. It features a safety-first architecture with configurable access levels to protect critical infrastructure from unauthorized or accidental power loss.

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.

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.

Provides access to Alpha ESS solar inverter and battery system data, enabling monitoring of energy statistics, real-time power data, and configuration of battery charging and discharge schedules through the Alpha ESS Open API.

Enables AI agents to monitor and control Orbis Viaris EV chargers over the local network, including live power status, charging schedules, history, and power limits, with no cloud dependency.

An MCP server that enables AI assistants to control devices via Tuya infrared remote control, supporting actions like toggling power and setting modes through natural language.

A Model Context Protocol server for controlling LIFX smart lights, enabling AI assistants to manage power, color, brightness, effects, and scenes.

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.

Enables MCP-compatible assistants to retrieve live data from an iopool pool account, including water temperature, pH, ORP, running mode, and filtration recommendations, and to list the account's pools. Access is authenticated with the user's own iopool API key, via OAuth or a direct bearer header.

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.

A minimal MCP server that exposes a single tool to forward JSON reports from Home Assistant to Power Automate webhooks. It enables automated workflow integration by securely transmitting data between Home Assistant and Microsoft Power Automate.

Provides read-only access to Shelly Cloud energy data, including live power, lifetime energy, and historical consumption with cost, enabling AI agents to monitor electricity usage without device control.

Enables LLMs to control an RND 320-KA3005P lab power supply through MCP tools, allowing natural language commands to set voltage/current, toggle output, and read measurements.

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.

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.