"How to save files recommended by Claude AI to my computer" 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 enables Google ADK agents to triage solar fault signals, retrieve Salesforce diagnostics via hosted MCP prompt templates, and create WorkOrder records when replacements are needed.

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.

DC Hub is the live data layer for data-center siting that agents can query and cite. Its Data Center Power Index (DCPI) scores where data centers can get grid power across 300+ markets daily. Also 330,000+ mapped power, grid, gas and fiber assets. 94 MCP tools at https://dchub.cloud/mcp plus a REST API at https://dchub.cloud/api/v1. Free tier needs no key; paid plans: dchub.cloud/pricing.

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.

Enables users to ask directly within a Claude Code or Codex chat how much energy and CO2eq their current session or entire project has consumed, estimated locally from session logs with no telemetry or network calls. It also reports everyday-activity equivalents such as kettle boils or washing machine cycles for the resulting figures.

Enables Claude to validate photovoltaic system specifications and deterministically generate single-line diagrams with IEC 60617 symbols, exporting to DXF/PNG headlessly or to live AutoCAD 2027 for DWG and PDF output.

Enables users to look up US residential electricity utilities and plans by ZIP code and usage, then estimate annual bills and rank plans by cost from published tariff data.

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.

Gives Claude, Cursor, VS Code and other MCP clients safe, structured access to an OpenSolar organisation's projects, contacts, systems, files, commercial settings and Teams sharing via the documented OpenSolar API. Runs self-hosted with your own bearer token, offering curated tools for searching, summarising, comparing, updating and sharing solar project data.

Enables querying of real-time and forecast UK carbon intensity data from National Grid ESO, allowing AI agents to retrieve carbon emissions by region and time.

MCP server for the OpenEMT electromagnetic transient simulator, enabling AI agents to enumerate the physics catalog, build circuits, solve power flow and EMT studies, and query simulation results by stable block ID.

Enables Claude AI to control and manage Homey Pro smart home devices, flows, and analytics through natural language.

An MCP (Model Context Protocol) server that exposes Polestar 2 vehicle data to AI assistants like Claude. Query your car's battery status, vehicle info, and health data through natural conversation.

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 real-time SPP electricity data—generation mix by fuel, load and renewable forecasts, five-minute LMP prices, and the full marketplace file archive back to 2013—through MCP tools.

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.

Enables access to PJM Interconnection's real-time wholesale electricity prices by node, generation by fuel type, and seven-day load forecasts through MCP tools for feed lookup, LMP, fuel mix, and load forecast queries.

Enables AI assistants to size hybrid renewable energy systems by simulating candidate designs hour-by-hour for a full year, filtering out constraint violations, and ranking remaining options by net present cost and related techno-economic metrics.

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.