"Using Python REPL from an MCP server on Windows" matching MCP servers:

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.

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

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 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.

Enables querying US electric grid time-series data – LMP prices, load, fuel mix – across ISOs via tools to list datasets, fetch historical windows, and get latest values.

An MCP server that provides verified official Turkish electricity system data (from TEİAŞ and EÜAŞ) via tools for querying generation, installed capacity, demand, and import/export, enabling natural language access to energy statistics.

MCP server that estimates photovoltaic production using the European Commission's PVGIS API, deployed on Cloudflare Workers for serverless, free-tier operation.

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

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

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.

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 voice assistants to answer when to run household appliances using live solar forecasts, typical-year production, savings, battery, and multi-load planning. It remembers site details, estimates usable solar windows, and returns concise spoken guidance without inventing measurements.

Provides tools to search, inspect, and query energy open data from ODRE (electricity & gas production, consumption, grid load, renewables) using natural language or direct tool calls.

Enables analysis of Danish household electricity consumption to suggest optimal times for shifting usage to save money, using hourly import and grid charges from Eloverblik and spot prices from Energi Data Service.

Enables voice control of Nest thermostats from a Pebble Index ring via MCP, using Google's Smart Device Management API to list thermostats, report status, and adjust temperature, mode, eco, and fan settings.

Provides data-quality validation and anomaly scoring tools so an AI agent can decide whether to dispatch a field technician, while refusing to act on untrusted data.

An AI-powered EV Digital Twin platform for battery health monitoring, predictive maintenance, fleet analytics, and intelligent decision support using MCP tools for SOH prediction and RUL estimation.

Generates peer comparison reports on emissions trends, reduction targets, and gaps for companies in a given SICS sector/sub-sector using live data from the Climate Data Utility (CDU).

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.