"How to make a model aware of the current time before thinking" matching MCP servers:

Enables users to pull live heating-oil tank readings from their Smart Oil Gauge account without Home Assistant, reporting gallons remaining, percent full, usage rates, and days-until-low estimates plus usage history across daily, weekly, monthly, and yearly windows. It logs in with existing app credentials and fetches fresh data on each tool call, storing nothing on disk.

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.

Connects to real-time French power grid data (carbon intensity, consumption, generation mix) to make Kiro carbon-aware, enabling it to defer heavy jobs when the grid is dirty.

Provides real-time electricity prices, cheapest hours, and contract comparison for 40+ countries, enabling AI agents to make energy-aware decisions.

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.

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.

A Model Context Protocol server that connects Claude to your own Kia vehicle through the Kia Owners API, enabling vehicle status, location, odometer, EV charge state, and confirm-gated commands for doors, climate, and charging.

Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.

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 access to solar inverter data from the SolaX Cloud API, enabling queries of power output, energy yields, battery status, and grid import/export data.

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.

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 lean Model Context Protocol (MCP) server that gives AI assistants like Claude structured access to a SolarEdge PV installation via the official SolarEdge Monitoring API.

Enables LLM agents to query live data from Anker Solix solar systems (Solarbank, expansion batteries, Smartmeter) via natural language, such as current solar production or battery state of charge.

MCP server for Danish electricity prices, providing current spot price, cheapest hours, and 7-day forecast for DK1 and DK2 areas.

Enables retrieval of Estonia's Nord Pool day-ahead wholesale electricity prices through typed stdio tools: current-day, next-day, and per-hour quarter-hour prices in EUR/MWh and cents/kWh, on both VAT-exclusive and 24% VAT-inclusive bases, with hourly and daily summaries that respect Tallinn daylight-saving transitions.

Enables controlling Zaptec EV chargers through natural language, including checking charging status, viewing charge history with cost, pausing and resuming sessions, and setting available current.

Lets an MCP client read live power from a local IoTaWatt energy monitor over its HTTP API, query history logs for energy and interval data, inspect device configuration and channel definitions, and sample current waveforms to identify load types. All tools are read-only and require no cloud account.

MCP server for the JouleScope JS220 precision energy analyzer, enabling agents to measure current, voltage, power, charge, and energy via tools like measure_energy.

Provides access to Korea Petroleum Corporation's Opinet fuel price API for South Korea. Enables querying of current national and regional fuel averages, recent price trends, lowest-price stations, and nearby gas station details through natural language.

Provides agent-native, strongly typed access to Alberta's electricity market data via official AESO APIs, including current market snapshots, historical prices, load, generation, interchange, reserves, and deterministic analytics.

Enables access to Fronius solar inverter data via the MCP protocol, allowing real-time monitoring of energy production, consumption, and battery storage through natural language.

Enables generating yearly active and reactive power load time series for pandapower grids from German BDEW standard load profiles, with assignment of load categories, stochastic noise, scenarios, run manifests, plotting and time-series power flow. Also exposes run inspection, regeneration and verification so tool-calling LLM clients can produce and cite reproducible, checksummed results.

Enables control of ECHONETLite home automation devices like air conditioners and sensors via MCP, supporting HVAC management and real-time monitoring.

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.

Provides a unified MCP interface for smart home automation, enabling device discovery, state management, energy optimization, and policy-aware plan validation across multiple home automation protocols.

An MCP server that enables natural language interaction with the MeteoControl VCOM API v2 for monitoring solar array installations. It allows users to retrieve real-time and historical energy data, system alerts, and detailed asset configuration metrics.

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 AI assistants to retrieve current EIA residential heating oil and propane prices by state or region, compare weekly and year-ago changes, view historical price series, and estimate heating costs per delivery or million Btu.

Enables classifying electricity meter days as active, standby, off, or unsure from 96 fifteen-minute kWh readings plus a meter reference, with batch support for up to 31 days and model metadata. Runs fully offline as a frozen scikit-learn classifier, exposing single-day and batch classification plus model-info tools over STDIO or HTTP.