"A graph database management system: Neo4j" matching MCP servers:

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

Enables AI assistants to query Tesla vehicle data and analytics from a TeslaMate PostgreSQL database, including battery health, driving statistics, charging sessions, and custom SQL queries.

Enables AI agents to interact with a user's Fill-Rite fuel management system, with token refresh handling for continuous access.

Enables AI assistants to monitor and control a user's own solar and battery system across multiple inverter brands through a developer API, including checking status, energy prices, and applying energy-mode or export-plan changes.

Enables Claude to validate photovoltaic system specifications and deterministically generate single-line diagrams with IEC 60617 symbols, exporting to DXF/PNG headlessly or to live AutoCAD 2027 for DWG and PDF output.

Enables turning an address or lat/lng into a transparent solar proposal by geocoding it, pulling Google Solar API building insights (panel layouts, roof segments, imagery quality), and pricing a few system sizes with your tariff, install cost, incentives, savings, payback, NPV and a verdict. Every input is labelled with its source, Google's own financial analyses are shown side by side, and no prices are invented.

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 real-time ISO New England electricity market data via MCP, including five-minute locational marginal prices, system load, and generation fuel mix for the six New England states.

A Model Context Protocol (MCP) server that provides comprehensive access to Tigo Energy solar system data and analytics. It enables AI assistants to interact with your Tigo solar monitoring system to retrieve production data, performance metrics, system health information, and maintenance insights.

Enables searching and retrieving US electricity tariff data from NREL's OpenEI Utility Rate Database, including rate schedules, charges, and utility information for locations.

MCP server for Solplanet ASW5-T inverter, enabling natural language queries about solar energy system status and control.

Enables querying the official ANP Base de Distribuição database for distribution base information through a read-only, hosted MCP endpoint with prepaid per-query credits.

An MCP server that provides verified official Turkish electricity system data (from TEİAŞ and EÜAŞ) via tools for querying generation, installed capacity, demand, and import/export, enabling natural language access to energy statistics.

Connects Claude AI with EPRI's OpenDSS power system simulator, enabling conversational power system analysis for distribution planning.

Enables querying Georgia's national electricity system live grid telemetry and regulator statistics, including generation, consumption, cross-border flows, frequency, demand forecasts, tenders, and station-level monthly generation and price data.

Enables LLMs to verify the novelty and validity of invented battery materials, with support for searching and validating against a materials database.

MCP server for querying and simulating the dispatch plan of a solar PV + battery system in the Chilean electricity market, using deterministic optimization and optional DRL.

Autonomous, carbon-aware building management system that pairs EnergyPlus digital twins with LLMs via the Model Context Protocol (MCP) for dynamic HVAC optimization and grid carbon reduction.

MCP server for controlling Honeywell Total Connect Comfort thermostats, enabling remote management of multiple thermostats through Claude interfaces. It provides tools for monitoring temperatures, adjusting setpoints, and changing system modes for thermostat control.

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.

Carbon-aware MCP scheduler that defers "do it later" / "by tomorrow" / "overnight" LLM tasks to the cleanest electricity-grid hour inside a deadline — 40-70% lower CO2 per task, 50% cheaper via Anthropic/OpenAI Batch APIs. 9 MCP tools, per-task carbon receipts to local SQLite, Apache-2.0.

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.

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

Enables MCP clients to search Colombian energy and gas resolutions and legal opinions, read them in chunks or by internal search, and explore each rule's regulatory graph with validity computed from the texts themselves.

An MCP server for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.

A Model Context Protocol server that connects Claude to your own Kia vehicle through the Kia Owners API, enabling vehicle status, location, odometer, EV charge state, and confirm-gated commands for doors, climate, and charging.

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

Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.

Connects a MyToyota or MyLexus Europe account to Claude and other MCP clients, enabling natural-language access to fuel, range, location, trips, health, climate, charging data, and remote commands such as lock, climate, and charging.

DeepPVMapper is an open source, crowdsourced verified AI map of rooftop solar systems. The MCP serves as a endpoint to allow queries to the database (1.1M+ systems) in natural language. This work is based on my former PhD work.