"A system for querying databases using natural language" matching MCP servers:

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

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

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.

Enables Claude or any MCP client to read live and historical Sunsynk inverter, battery, and solar data, plus inverter settings, through the Sunsynk Connect cloud API. It is read-only and lets users ask natural-language questions about generation, consumption, charging, and configuration.

Enables natural-language querying of US utility emissions, generation mix, and climate alignment data through any MCP client.

MCP server for Durable energy trading analytics that connects Claude Desktop to Snowflake data, enabling natural-language queries about spreads, constraints, generators, and prices.

A read-only BACnet/IP gateway that exposes building automation point databases to LLM agents via MCP, with Brick + Project Haystack semantic tagging at ingest time.

MCP server that connects to Felicity Solar cloud battery data, allowing natural language queries about battery status, cell voltages, and charge state.

Enables querying Tibber electricity prices, forecasts, consumption data, cheapest hours, and live Pulse measurements through natural language.

Provides access to Korea Petroleum Corporation's Opinet fuel price API for South Korea. Enables querying of current national and regional fuel averages, recent price trends, lowest-price stations, and nearby gas station details through natural language.

Enables control of Fibaro Home Center devices, scenes, variables, and system administration through natural language.

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

Enables querying optimal control values (angle for blowers, control for pumps) to minimize power given a required flow rate, using machine learning models trained on pump/fan operation data.

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

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.

Enables LLM applications to query and visualize data from Bosch/Buderus heat pumps via ems-ESP, including temperatures, statistics, and heat curves through natural language.

Enables querying German distribution grid operator data from vnbdigital.de and BDEW register, including lookup by ID, postcode, coordinates, and free-text search.

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.

Enables querying Denmark's official open energy data from Energinet through MCP tools.