"Creating an MCP Server" matching MCP servers:

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

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.

Provides tools for querying Danish day-ahead electricity prices, finding cheapest charging windows, estimating costs, and creating pending charging plans, with strict validation and human-in-the-loop approval for write operations.

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.

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.

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.

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.

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.

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

Enables read-only access to a customer's Enedis Linky electricity meter data, so an agent can answer questions about daily and period consumption, half-hourly load curves, and peak power. Every call is logged, and no writes or meter changes are possible.

Enables searching and retrieving native EMS registers, SunSpec models and points, and closed-loop control recipes for Wattsonic MATIC hybrid inverters, validating planned Modbus writes against the documentation, and generating client code. It provides documentation only and never connects to an inverter.

Enables controlling ecobee thermostats from ChatGPT by connecting a user's ecobee account through normal browser sign-in, without an ecobee developer API key. Supports listing thermostats, reading status, setting temperature or HVAC mode, and resuming schedules.

Lets an MCP client read live power from a local IoTaWatt energy monitor over its HTTP API, query history logs for energy and interval data, inspect device configuration and channel definitions, and sample current waveforms to identify load types. All tools are read-only and require no cloud account.

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.

An unofficial MCP (Model Context Protocol) server that exposes a Vaillant heat pump's data to AI assistants like Claude. Query outdoor and room temperatures, hot water status, energy consumption, COP estimates, schedules, and diagnostics through natural conversation.

An OpenStreetMap MCP server providing geocoding, routing, points of interest, map tiles, public transport, and energy infrastructure tools to enhance LLM location-based capabilities.

Enables an AI assistant to read your own Israel Electric Corporation account over MCP: customer details, contracts, bills, invoice PDFs, meter readings, and smart-meter consumption, with read-only access. Sign-in happens in your own browser and the session is stored only on your machine.

Enables local control of an installed PVsystCLI 8 on Windows, letting a client check license quota, list workspace projects and variants, build SFI definitions, run existing project/variant simulations, convert staged weather data into MET files, and summarize numeric result columns. It exposes only seven typed tools with filename-based access to fixed workspace folders, and never overwrites existing output files.

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.

An oil & gas data-analytics MCP server that enables guarded SQL queries, well valuation, and map rendering within chat apps.

Enables MCP clients to query open data and a JSON API for the energy and CO2e cost of LLM tokens by model, GPU, and country.

Enables AI assistants to search and analyze Turkish electricity and energy market regulation by scanning the Resmî Gazete and EPDK, EPİAŞ, ETKB and TEİAŞ announcements, extracting amended articles and effective dates, and ranking changes by market importance with reasoning. It also provides source health status and rule-based effective-date extraction from any text, without requiring an API key.

Enables turning an address or lat/lng into a transparent solar proposal by geocoding it, pulling Google Solar API building insights (panel layouts, roof segments, imagery quality), and pricing a few system sizes with your tariff, install cost, incentives, savings, payback, NPV and a verdict. Every input is labelled with its source, Google's own financial analyses are shown side by side, and no prices are invented.

An MCP server that enables AI assistants to look up solar permitting authorities, estimate solar production via PVWatts, and retrieve irradiance data. It streamlines the creation of solar-aware workflows by integrating industry-standard APIs like NREL.

Enables portable-battery outage planning by exposing tools that retrieve an example scenario, compute usable AC energy and runtime, select protected and optional loads, and compare plans under energy, continuous-power, and startup-surge limits. It returns structured calculations and spoken summaries for rehearsing what can stay powered before an outage.