"Analyzing Firebase Firestore, Authentication, and Storage Configuration for a Windsurf Application" matching MCP servers:

Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.

Generates deterministic solar and energy storage system preliminary proposal calculations from structured customer inputs.

MCP server for Swiss electricity data from three official sources — production mix, consumption forecast, storage-lake fill, consumer price index, tariffs per municipality, and dataset discovery. Zero authentication.

Connects Claude with the Tesla Owner API, enabling authentication and data retrieval for Tesla vehicles and solar systems.

An MCP server that enables natural language interaction with the MeteoControl VCOM API v2 for monitoring solar array installations. It allows users to retrieve real-time and historical energy data, system alerts, and detailed asset configuration metrics.

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

MCP server exposing distributed industrial asset data (battery storage, EV chargers, solar arrays) with tools for asset status, geospatial search, alerts, anomaly explanation, and load simulation.

Enables AI agents to interact with the OSDU® data platform through Model Context Protocol, providing tools for search, storage, schema management, and dataset operations.

Connects MCP clients (e.g., Claude) to your NIBE myUplink heat-pump account for reading sensors and controlling settings via OAuth2 authentication.

MCP server for analyzing building sustainability metrics via Excel, PDF, and frameworks like ESG, LEED, BREEAM, DGNB with IFC integration.

MCP server for downloading and extracting text via OCR from Enel São Paulo electricity bills. Read-only with magic-link authentication and pre-paid credit usage.

Enables natural language interaction with OpenStudio building energy simulation, allowing creation, querying, and modification of models, running EnergyPlus simulations, and analyzing results.

Nine tools for indoor climate and household energy in Germany/EU: BTU sizing for a room, portable-AC window-seal length, live heatwave outlook, appliance running costs, heating watts, dew point for safe ventilation, and balcony-storage subsidy rules. Also searches and reads 133 guides on getecoback.com; no auth, no personal data, and every answer returns its source URL.

Provides tools for Dutch energy market data: day-ahead and imbalance prices, weather forecasts, and battery storage business case calculations.

MCP server for real-time electricity prices, carbon intensity, and energy analytics across 41+ zones in Europe, Great Britain, the United States, and Australia. Query live prices, compare zones, check gas storage levels, get green scores, find optimal charging windows, and access advanced analytics. Free Basic tier requires no API key. Install via npx gridpulse-mcp or connect directly via Streamab

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.

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.