"AI-powered IDEs for project analysis and development" matching MCP servers:

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.

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

MCP server that provides live facility data access and operational tools, enabling the AI agent to query sensor readings, HVAC status, energy usage, alerts, and execute confirmed maintenance actions.

Exposes EnergyPlus building simulation tools as MCP endpoints, enabling LLMs to run closed-loop energy optimization while maintaining occupant comfort.

Enables LLMs to verify the novelty and validity of invented battery materials, with support for searching and validating against a materials database.

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

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.

WindAI MCP Server — AI-powered wind resource assessment for any location on Earth.

AI-powered BESS quoting & energy sales intelligence for Claude and any MCP client

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.

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 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.

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.

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 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.

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 utility operators to forecast transformer oil temperature, assess synthetic outage risk, rank impacted assets, and generate maintenance plans through IBM Bob MCP tools.