"A method for finding people on LinkedIn and organizing them in a CSV" matching MCP servers:

Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.

Enables MCP clients to search Colombian energy and gas resolutions and legal opinions, read them in chunks or by internal search, and explore each rule's regulatory graph with validity computed from the texts themselves.

Enables AI agents to choose the lowest-carbon cloud region for a workload, with tools for ranking regions by carbon intensity and latency, and for finding optimal start times to reduce emissions.

MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.

Enables parsing, analysis, and export of power measurement data from Monsoon Power Monitor PT5 files, including summary statistics, sample retrieval, trend analysis, and CSV export.

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.

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.

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.

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.

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 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 local control of an installed PVsystCLI 8 on Windows, letting a client check license quota, list workspace projects and variants, build SFI definitions, run existing project/variant simulations, convert staged weather data into MET files, and summarize numeric result columns. It exposes only seven typed tools with filename-based access to fixed workspace folders, and never overwrites existing output files.

Pay-per-call MCP server for SMARD day-ahead electricity prices (DE-LU, 15-minute resolution) on Base mainnet via x402.

MCP server that estimates photovoltaic production using the European Commission's PVGIS API, deployed on Cloudflare Workers for serverless, free-tier operation.

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.

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.

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 data-quality validation and anomaly scoring tools so an AI agent can decide whether to dispatch a field technician, while refusing to act on untrusted data.

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).