"Understanding Requirement Analysis" matching MCP servers:

MCP server for batch EIS analysis, enabling ECM fitting and DRT computation from impedance 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 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 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.

One-call Australian energy-market plumbing via AEMO — cited, structured responses for market data and analysis, not a data broker.

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 for Dunn and GITT battery analysis, enabling calculation of kinetic parameters and diffusion coefficients from cyclic voltammetry and titration data.

MCP server enabling AI assistants to automatically perform carbon footprint modeling, product queries, and emission analysis via the Carbonstop Cloud API.

Enables natural-language-driven human-centric lighting analysis, including CIE S 026 α-opic and circadian metrics, spectral sky reconstruction from EPW files, and Radiance daylight/electric/glare simulation.

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.

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).

Enables AI assistants to automatically call Carbonstop Cloud API for carbon footprint modeling, product query, and emission analysis through natural language.

MCP server for EG4 solar inverters, enabling real-time monitoring, performance analysis, battery health, alerts, maintenance insights, and historical data via natural language.

Enables AI agents to access and analyze Spanish electricity consumption data via the Datadis API, providing tools for supply management, consumption analysis, anomaly detection, and executive reporting.

Connects Claude AI with EPRI's OpenDSS power system simulator, enabling conversational power system analysis for distribution planning.

MCP server for BIM-to-building-energy simulation workflows with IFC extraction, TEASER integration, scenario modeling, weather binding, and results export for downstream WAT/ROI analysis.

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.

Provides comprehensive access to EnergyPlus building energy simulation results, enabling discovery, analysis, and extraction of data from epJSON, SQL, and HTML files through MCP tools with pandas integration.

MCP server that enables Claude to model and simulate electrical distribution networks (MV/LV) using OpenDSS, including power flow, short-circuit, contingency analysis, and single-line diagram generation.