"Using Claude AI on a desktop for web searches" matching MCP servers:

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.

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.

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 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.

Generates and verifies zero-knowledge proofs locally for Energy Web Verified Compute, keeping private meter readings and blinding salts on the user's machine while enabling agents to submit verifiable proof packages.

WindAI MCP Server — AI-powered wind resource assessment for any location on Earth.

MCP server for Durable energy trading analytics that connects Claude Desktop to Snowflake data, enabling natural-language queries about spreads, constraints, generators, and prices.

Enables monitoring and control of SwitchBot devices (temperature sensors, plugs, bots) via Claude Desktop or Home Assistant.

MCP server combining TeslaMate historical analytics with Fleet API live data and commands. Works with Claude Code, Claude Desktop, Cursor, and any MCP-compatible client.

Enables querying optimal control values (angle for blowers, control for pumps) to minimize power given a required flow rate, using machine learning models trained on pump/fan operation data.

Reads thermostat status and controls HVAC modes, holds, schedules, comfort sensors, settings, vacations, fan runtime, and on-screen messages for a single thermostat account, hosted remotely on Cloudflare Workers with bearer-protected, stateless access.

A local MCP server that enables building energy analysis through tools for anomaly detection, flexible-load schedule optimization, and battery/solar outage-autonomy simulation using reproducible synthetic data.

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

Unofficial MCP server for Octopus Energy customers in the UK. Lets Claude and other AI assistants read your smart meter usage, costs, tariffs and bills, find the cheapest Agile half-hours and, if you allow it, manage Intelligent Octopus EV charging and join Saving Sessions. Read-only by default, with an optional audit log. Runs in Docker or as a one-click Claude Desktop bundle.

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.

Connects Claude Desktop to the Enphase Developer API v4 for read-only access to solar production, consumption, battery, and EV charger data, with optional write tools for battery settings and EV charging.

Unofficial MCP server for Hive (British Gas) smart heating. Lets Claude and other AI assistants check your thermostats, radiator valves, hot water, plugs and lights and, if you allow it, boost the heating, set temperatures, switch on the hot water and set holiday mode. Read-only by default, with an optional audit log of every change. Runs in Docker or as a one-click Claude Desktop bundle.

A physics engine for liquid-cooled GPU systems, exposed as an AI-callable MCP server. Enables thermal analysis, coolant comparison, flow optimization, and rack-level sizing via natural language queries.

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.