"Examples of complex problem-solving using multiple tools" matching MCP servers:

Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.

MCP server providing deterministic, standards-traceable engineering calculations for combined-cycle power plant balance-of-plant design, such as fluid properties, pipe sizing, pump NPSH, and valve sizing, with every result including method, assumptions, and warnings.

87+ specialized tools for German and European energy data. Direct AI access to Marktstammdatenregister (MaStR), ENTSO-E, Redispatch 2.0, and Grid Operations for utilities and datacenters.

Provides tools to discover and summarize French open energy data from multiple public sources, including electricity mix helpers.

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.

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.

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.

Exposes Frank Energie energy data (electricity and gas prices, account info) as MCP tools for LLMs, using python-frank-energie for API communication.

Enables consultation of Enel RJ electricity bills through official sources, featuring download and OCR capabilities. It is a read-only MCP server that works with any MCP-compatible client, using prepaid credits.

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.

Provides offline access to the Brick Schema ontology, enabling validation and search of building metadata classes through MCP tools.

Enables querying PVGIS solar radiation and typical meteorological year data through natural language questions, using tools for monthly irradiation averages and hourly synthetic climate data.

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 and analysis of thermal power plant defects and work orders through fixed, parameterized SQL tools. Provides 8 core tools plus extensions for equipment search, defect/work order details, summaries, and failure analysis, with strict data boundaries and security.

Enables voice control of Nest thermostats from a Pebble Index ring via MCP, using Google's Smart Device Management API to list thermostats, report status, and adjust temperature, mode, eco, and fan settings.

MCP server for controlling Honeywell Total Connect Comfort thermostats, enabling remote management of multiple thermostats through Claude interfaces. It provides tools for monitoring temperatures, adjusting setpoints, and changing system modes for thermostat control.

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.

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.