"Information about Redux in programming" matching MCP servers:

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.

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

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

Access Great Britain electricity grid open data from the NESO API, enabling queries about generation, demand, and market data.

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 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.

Provides access to KfW funding programs for residential building energy efficiency renovations in Germany. Enables users to list programs, check eligibility, calculate funding amounts, and get detailed information about specific KfW loans and grants.

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.

An MCP server that exposes the U.S. Energy Information Administration (EIA) Open Data API, enabling LLMs to browse and query energy data across 17 datasets with generic, composable tools.

Enables real-time solar data from Fronius inverters via Claude, allowing natural language queries about solar production, battery, and grid exchange.

Enables Claude to size batteries, wire gauges, and fuses for 12V-48V electrical systems in boats, vans, and off-grid builds, and generates complete wiring diagrams as SVG or PNG.

Connects Claude and other MCP clients to myGEKKO building controllers via the official Query API, enabling natural-language queries and control of smart-home devices. It is read-only by default, with write actions available only through explicit opt-in and safety policies.

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.

Browse and query the U.S. Energy Information Administration API v2 — electricity, petroleum, natural gas, coal, forecasts, and more via MCP. STDIO or Streamable HTTP.

Enables access to US Energy Information Administration statistics including production, consumption, prices, exports, and more, with series search and natural-language queries.

An MCP server that wraps the U.S. Energy Information Administration's Open Data API, enabling assistants to fetch live energy data via natural language. It provides tools for querying series, browsing data routes, filtering facets, and running custom queries.

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

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.