"A service or tool for purchasing tickets quickly" matching MCP servers:

Read-only MCP server for Energinet's public Energi Data Service. Enables dataset search, arbitrary dataset queries with filters, and CO2 emissions retrieval for DK1/DK2 without an API key.

Exposes a single read-only tool that retrieves live Huawei SUN2000 inverter telemetry over local Modbus TCP, including model, firmware, active power, daily and lifetime yield, device status, and observation timing. Readings are briefly cached, with failures returned as errors rather than stale or fabricated values.

Enables AI agents to query live solar telemetry from public SolarNetwork sites, detect dated equipment faults with peer-relative analysis, and generate printable PDF service reports for field technicians.

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.

This MCP server provides a single read-only tool to query official CPFL (electric utility) bill download data via a hosted, prepaid service without requiring platform credentials.

Provides real-time grid carbon intensity, power generation breakdown, and carbon-intensity forecasts for any zone or lat/lon location.

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.

Enables access to real-time electricity data for a 15-state US region plus Manitoba: fuel mix, five-minute wholesale prices, binding transmission constraints, load and forecasts, and wind/solar output. Can run as a remote MCP endpoint or a local stdio server with no authentication.

Enables users to consult and download second copies (2ª via) of Comgás gas bills from the official source via a read-only tool, with prepaid per-query credit.

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.

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 querying Ofgem energy statistics as structured tabular rows, including price cap components, wholesale gas and electricity prices, supplier shares, switching, debt, and customer service.

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.

Provides structured tools for thermal power operations, including defect and work order search, summaries, and failure analysis. Replaces free SQL with fixed templates and supports dashboard and service status.

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.

An MCP server that lets an MCP client control IKEA TRÅDFRI smart plugs paired to a DIRIGERA hub via its local REST API.

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.