"Python context management and dependency solving in ComfyUI" matching MCP servers:

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

MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.

Enables AI agents to monitor and control Orbis Viaris EV chargers over the local network, including live power status, charging schedules, history, and power limits, with no cloud dependency.

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 agents to interact with the OSDU® data platform through Model Context Protocol, providing tools for search, storage, schema management, and dataset operations.

Exposes Frank Energie energy data (electricity and gas prices, account info) as MCP tools for LLMs, using python-frank-energie for API communication.

Enables AI agents to interact with IoT device data from a smart city, including public lighting, water, and gas meters. Supports querying and management via the Model Context Protocol.

Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.

Hourly electricity grid carbon intensity (gCO2eq/kWh) for 45 zones across Europe, the US and Great Britain, computed from ENTSO-E, EIA and NESO generation data. Four read-only tools; every value carries its interval timestamp and how stale it is. No API key, no account.

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.

Unofficial MCP server for the messdienst24.de utility portal, providing tools to retrieve heating and hot-water consumption data, download PDF reports, and compare usage trends.

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.

A Model Context Protocol server that connects Claude to your own Kia vehicle through the Kia Owners API, enabling vehicle status, location, odometer, EV charge state, and confirm-gated commands for doors, climate, and charging.

DC Hub is the live Model Context Protocol layer for data-center and energy infrastructure. AI agents call 91 tools across 22,900+ facilities for land+power, grid, interconnection, fiber, and Capacity Source — with as_of timestamps. Connect: https://dchub.cloud/connect · Docs: https://dchub.cloud/ai-agents · Endpoint: https://dchub.cloud/mcp · Pro $99/mo (never $299/Founding).

Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.

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

Automatically generates borehole structure diagrams from well data, supporting multiple well types and returning simplified image paths to reduce token usage.

Live and historical electricity prices, demand, generation mix and carbon intensity for 25 grid zones (US, Europe, GB, Australia). Hosted endpoint plus local stdio bridge; free sample mode, free API key, or x402 pay-per-call.

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.