"RAG (Retrieval-Augmented Generation) system that can store papers and web pages" matching MCP servers:

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

Sourced carbon emission factors + audit-traced calculations an AI can cite.

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.

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

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.

Enables users to query current and historical UK electricity carbon intensity, generation mix, and regional intensity data to schedule energy-intensive tasks during low-carbon periods.

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 users to query the UK National Grid's carbon intensity data, providing real-time and forecasted carbon emissions for electricity generation.

Provides real-time grid carbon intensity, power generation breakdown, and carbon-intensity forecasts for any zone or lat/lon location.

Enables AI agents to discover and execute solar energy domain tools such as solar cell simulation, perovskite parameter/bandgap/aging prediction, RAG knowledge retrieval, and curve/table generation through MCP.

Enables retrieval of weather data and forecasts through tool calls to support solar generation and next-month electricity bill predictions.

MCP server for querying ENTSO-E Transparency Platform data including actual load, generation per type, cross-border flows, and installed capacity.

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 real-time access to US electricity generation, fuel mix, and demand data through natural language queries.

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

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 querying European electricity generation, prices, and capacity data from Fraunhofer ISE's Energy-Charts platform.

An MCP server that connects AI assistants to the ZONT heating system via the official REST API. It enables users to monitor device states, control heating modes, and perform diagnostics using natural language.