"A tool for critical thinking and devil's advocate analysis of AI model plans" 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.

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.

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

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

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.

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 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.

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.

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.

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 retrieval of weather data and forecasts through tool calls to support solar generation and next-month electricity bill predictions.

Enables AI agents to understand, query, and manipulate Honeybee building energy models through natural language via the Model Context Protocol.

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.