"A server for finding information about remote-capable tools or roles" matching MCP servers:

Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.

MCP server providing deterministic, standards-traceable engineering calculations for combined-cycle power plant balance-of-plant design, such as fluid properties, pipe sizing, pump NPSH, and valve sizing, with every result including method, assumptions, and warnings.

Enables local, cloud-free control of Daikin air conditioners from MCP clients, letting assistants read unit state and adjust power, mode, temperature, fan, louvres, and special modes over the unit's local HTTP API.

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.

MCP server for the German energy market master data register (MaStR), enabling querying of energy units, actors, grid connections, and more via 21 SOAP and public tools.

MCP server providing tools for AI-agents to interact with Enapter EMS.

Enables classifying electricity meter days as active, standby, off, or unsure from 96 fifteen-minute kWh readings plus a meter reference, with batch support for up to 31 days and model metadata. Runs fully offline as a frozen scikit-learn classifier, exposing single-day and batch classification plus model-info tools over STDIO or HTTP.

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.

An MCP server that exposes Home Assistant's REST and WebSocket APIs as 182 tools, enabling clients like Claude Code to control lights, climate, media, automations, and more. It also provides a status dashboard and supports running as a Home Assistant app or container.

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.

87+ specialized tools for German and European energy data. Direct AI access to Marktstammdatenregister (MaStR), ENTSO-E, Redispatch 2.0, and Grid Operations for utilities and datacenters.

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.

A powerful MCP server that enables AI assistants like Claude to access, analyze, and optimize solar energy data from FoxESS inverters.

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.

MCP server for EmonCMS energy monitoring API, enabling AI assistants to query energy feeds, inputs, and historical data.

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.

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.

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.

AI assistants can size heat pumps, estimate energy costs, and verify cold-climate performance using bundled data and no API keys.

An MCP server that provides access to Northwood Capital Partners' portfolio carbon data, enabling MCP-compatible agents to query emissions, analyze decarbonization gaps, and simulate reduction initiatives through natural language.