"A Python-based server for browser automation" matching MCP servers:

Enables natural-language automation of DIgSILENT PowerFactory for engineering tasks such as load-flow studies, short-circuit calculations, and network switching.

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

MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.

Provides AI agents with read access to Trane Tracer SC+ building automation systems for inventory and telemetry retrieval.

Provides a unified MCP interface for smart home automation, enabling device discovery, state management, energy optimization, and policy-aware plan validation across multiple home automation protocols.

PyPSA MCP is a Model Context Protocol (MCP) server for creating, analyzing, and optimizing energy system models using PyPSA (Python for Power System Analysis).

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.

Provides LLMs with access to news and information about renewable energy projects and planning in Germany via the Nefino API, enabling location-based queries with topic and date filtering.

Enables local control of an installed PVsystCLI 8 on Windows, letting a client check license quota, list workspace projects and variants, build SFI definitions, run existing project/variant simulations, convert staged weather data into MET files, and summarize numeric result columns. It exposes only seven typed tools with filename-based access to fixed workspace folders, and never overwrites existing output files.

A TypeScript-based Model Context Protocol (MCP) server with web interface for calculating CO2 emissions using the Climatiq API.

A lightweight MCP server that connects LLM agents to BACnet devices for building automation, enabling real-time monitoring, actuation, and task orchestration.

Exposes Frank Energie energy data (electricity and gas prices, account info) as MCP tools for LLMs, using python-frank-energie for API communication.

Enables calculation of the most economical fuel (gasoline, ethanol, or natural gas) based on prices and vehicle consumption, following the 70% rule for ethanol and 60% for GNV.

Hourly electricity grid carbon intensity (gCO2eq/kWh) for 45 zones across Europe, the US and Great Britain, computed from ENTSO-E, EIA and NESO generation data. Four read-only tools; every value carries its interval timestamp and how stale it is. No API key, no account.

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.

Consulta el comparador oficial de ofertas de luz y gas de la CNMC (España) y devuelve las ofertas ordenadas por precio, con un análisis a varios años. Funciona con el QR de la factura o con código postal y consumo anual.

Unofficial MCP server for the messdienst24.de utility portal, providing tools to retrieve heating and hot-water consumption data, download PDF reports, and compare usage trends.

An MCP server that lets an MCP client control IKEA TRÅDFRI smart plugs paired to a DIRIGERA hub via its local REST API.

Read-only MCP server for Home Assistant that computes statistical summaries, trends, and session detection from recorded sensor history, returning compact tables instead of raw data so small local models can answer questions about energy usage, climate, and appliance activity without token-heavy arithmetic.