"Assistance with Creating Plotly Graphs Using AI" matching MCP servers:

Carbon-aware MCP scheduler that defers "do it later" / "by tomorrow" / "overnight" LLM tasks to the cleanest electricity-grid hour inside a deadline — 40-70% lower CO2 per task, 50% cheaper via Anthropic/OpenAI Batch APIs. 9 MCP tools, per-task carbon receipts to local SQLite, Apache-2.0.

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.

PyPSA MCP is a Model Context Protocol (MCP) server for creating, analyzing, and optimizing energy system models using PyPSA (Python for Power System Analysis).

Read-only MCP server for querying Enel Rio de Janeiro's official list of installations using a single tool, hosted with prepaid pay-per-use pricing.

Enables AI assistants to list demo inverter sites, inspect production, pull weather context, and get deterministic panel-cleaning recommendations over MCP using synthetic solar operations data.

Read-only MCP server for consulting CPFL utility data via official source using link and OCR, with prepaid per-query pricing.

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.

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

Enables utility operators to forecast transformer oil temperature, assess synthetic outage risk, rank impacted assets, and generate maintenance plans through IBM Bob MCP tools.

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.

Exposes EnergyPlus building simulation tools as MCP endpoints, enabling LLMs to run closed-loop energy optimization while maintaining occupant comfort.

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.

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.

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.

MCP server for fetching Danish electricity spot prices (DK1/DK2) using the free elprisenligenu.dk API, providing tools to get current price, cheapest hours, and price summaries.

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