"An overview of knowledge graphs" matching MCP servers:

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.

Enables Entra-authorized monitoring and control of an EG4 inverter via MCP, with OBO delegation and safety gates.

Enables AI clients to incrementally edit native PSCAD 4.6.2 projects, execute simulations, query numerical outputs, and search local official Help through MCP tools.

WattScope helps teams see the carbon cost of the AI they are already using. Ask Claude to record a piece of work and it attributes the estimated footprint to your organization and to a project, then reports it back — per session, per project, or organization-wide. Every figure is an estimate, and carries the strength of the evidence behind it.

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.

MCP server that provides live facility data access and operational tools, enabling the AI agent to query sensor readings, HVAC status, energy usage, alerts, and execute confirmed maintenance actions.

Enables creation and validation of Canadian NECB prototype building models, application of NECB rulesets, and inspection of pinned standards/capabilities through MCP tools.

An unofficial read-only MCP server for Panasonic AiSEG2 home energy management controllers, enabling clients to read live power flow, per-circuit consumption, circuit names, daily totals, and historical energy/cost data from the device's local web interface.

An MCP server that lets an MCP client control IKEA TRÅDFRI smart plugs paired to a DIRIGERA hub via its local REST API.

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 for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.

An MCP server that extracts energy-usage charts from utility-bill PDFs, returning structured time-series data and annotated images.

Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.

An MCP server for calculating carbon footprints from bank statements using EPA GHG emission factors.

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.

Generates and verifies zero-knowledge proofs locally for Energy Web Verified Compute, keeping private meter readings and blinding salts on the user's machine while enabling agents to submit verifiable proof packages.

Enables querying Danish energy data—electricity prices, carbon intensity, consumption, production, grid capacity, balancing markets, and gas—from Energinet's public Energi Data Service without an API key.

Provides real-time access to solar inverter data from the SolaX Cloud API, enabling queries of power output, energy yields, battery status, and grid import/export data.

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.

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.