"using-the-internet-for-searches" matching MCP servers:

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.

Provides real-time South African load shedding data through the EskomSePush API. Enables users to check current load shedding stages, monitor API usage, and access area-specific schedules and searches with natural language queries.

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).

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.

A TypeScript-based Model Context Protocol (MCP) server with web interface for calculating CO2 emissions using the Climatiq API.

Nine tools for indoor climate and household energy in Germany/EU: BTU sizing for a room, portable-AC window-seal length, live heatwave outlook, appliance running costs, heating watts, dew point for safe ventilation, and balcony-storage subsidy rules. Also searches and reads 133 guides on getecoback.com; no auth, no personal data, and every answer returns its source URL.

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.

Enables AI agents to search, compare, and sign up for Texas utility plans (electricity, internet, gas, water, trash) across all ZIP codes, returning ranked options with one-click signup links.

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.

MCP server for querying and simulating the dispatch plan of a solar PV + battery system in the Chilean electricity market, using deterministic optimization and optional DRL.

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).

Enables solar energy potential assessment by converting parcel centroid and acreage into annual/monthly generation estimates using the NREL PVWatts v8 API, suitable for revenue modeling and infographic headlines.

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.