"Information on Unreal Engine" matching MCP servers:

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.

A physics engine for liquid-cooled GPU systems, exposed as an AI-callable MCP server. Enables thermal analysis, coolant comparison, flow optimization, and rack-level sizing via natural language queries.

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.

WindAI MCP Server — AI-powered wind resource assessment for any location on Earth.

Enables users to search generator guidance, check connector and receptacle compatibility, and calculate cord sizing based on distance and voltage drop.

Governed, read-only OT data tap for substation and utility telecontrol — IEC 60870-5-104, DNP3/IEEE 1815, and IEC 61850 MMS connectors with cross-protocol asset discovery, alarm and downtime RCA, unbypassable audit logging (MCP + CLI), budget/runaway guards, and an airgap no-egress mode. Energy edition of Industrial-AIOps, built on iaiops.core.

MCP server for Victron Venus OS that enables reading battery, PV, grid, and inverter data via D-Bus and MQTT, and safely controlling inverter mode and charge limits.

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.

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.

Weather files (EPW/DDY) for building energy simulation, on-demand. Four tools: search the 17,000-station catalog, analyze any EPW (design conditions, HDD/CDD, DesignDay IDF emit), render 5 chart types (diurnal, wind rose, temp carpet, monthly box plot, comparison), and generate TMY/AMY/CMIP6-morphed scenarios with UHI, extreme events, and wildfire smoke overlays. 3 of 4 tools work without API key.

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.

Pay-per-call MCP server for SMARD day-ahead electricity prices (DE-LU, 15-minute resolution) on Base mainnet via x402.

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.

MCP server for consulting and downloading Light utility bills using CEP and OCR from official sources. Offers a single read-only tool with pre-paid pricing, hosted on api.mcp.ai.

Enables calculation of the most economical fuel (gasoline, ethanol, or natural gas) based on prices and vehicle consumption, following the 70% rule for ethanol and 60% for GNV.

Provides access to the UK Carbon Intensity API, enabling users to retrieve current, historical, and forecast carbon intensity data, regional data by postcode, and generation mix information.

A FastMCP server that wraps the U.S. Energy Information Administration Open Data API v2, enabling natural-language queries for electricity, petroleum, and other energy statistics via tools like discover_eia_route and get_eia_data.

Provides data-quality validation and anomaly scoring tools so an AI agent can decide whether to dispatch a field technician, while refusing to act on untrusted data.