"A system for building an autonomous second brain" matching MCP servers:

Autonomous, carbon-aware building management system that pairs EnergyPlus digital twins with LLMs via the Model Context Protocol (MCP) for dynamic HVAC optimization and grid carbon reduction.

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

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

Generates deterministic solar and energy storage system preliminary proposal calculations from structured customer inputs.

Enables querying and downloading Equatorial Energia invoices via MCP tools, supporting listing consumer units, listing invoices, and downloading second-copy PDFs with local data extraction.

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.

A read-only BACnet/IP gateway that exposes building automation point databases to LLM agents via MCP, with Brick + Project Haystack semantic tagging at ingest time.

Provides AI agents with read access to Trane Tracer SC+ building automation systems for inventory and telemetry retrieval.

Enables AI agents to interact with a user's Fill-Rite fuel management system, with token refresh handling for continuous access.

An MCP server that enables natural language interaction with the MeteoControl VCOM API v2 for monitoring solar array installations. It allows users to retrieve real-time and historical energy data, system alerts, and detailed asset configuration metrics.

Enables Claude to validate photovoltaic system specifications and deterministically generate single-line diagrams with IEC 60617 symbols, exporting to DXF/PNG headlessly or to live AutoCAD 2027 for DWG and PDF output.

Enables turning an address or lat/lng into a transparent solar proposal by geocoding it, pulling Google Solar API building insights (panel layouts, roof segments, imagery quality), and pricing a few system sizes with your tariff, install cost, incentives, savings, payback, NPV and a verdict. Every input is labelled with its source, Google's own financial analyses are shown side by side, and no prices are invented.

Enables querying NASA POWER historical solar, wind, building, and agroclimatology data via MCP, including point time series, climatologies, native-grid regions, and comparisons across multiple labeled locations, with staged SQL analysis for larger datasets. Runs over STDIO or Streamable HTTP and requires no NASA account or API key.

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 prospecting lists of addresses, points or a bounding box through the Google Solar API's detected-arrays insight, reporting for each building whether rooftop PV is already detected, how old the capture imagery is, and how strong the roof's solar potential is. It ranks the remaining buildings into a reviewable prospect list while tracking call budget and list-price cost.

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

Enables real-time ISO New England electricity market data via MCP, including five-minute locational marginal prices, system load, and generation fuel mix for the six New England states.

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.

A Model Context Protocol (MCP) server that provides comprehensive access to Tigo Energy solar system data and analytics. It enables AI assistants to interact with your Tigo solar monitoring system to retrieve production data, performance metrics, system health information, and maintenance insights.

MCP server for Solplanet ASW5-T inverter, enabling natural language queries about solar energy system status and control.

Provides access to KfW funding programs for residential building energy efficiency renovations in Germany. Enables users to list programs, check eligibility, calculate funding amounts, and get detailed information about specific KfW loans and grants.

An MCP server that provides verified official Turkish electricity system data (from TEİAŞ and EÜAŞ) via tools for querying generation, installed capacity, demand, and import/export, enabling natural language access to energy statistics.

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

A lightweight MCP server that connects LLM agents to BACnet devices for building automation, enabling real-time monitoring, actuation, and task orchestration.

MCP server for analyzing building sustainability metrics via Excel, PDF, and frameworks like ESG, LEED, BREEAM, DGNB with IFC integration.

Enables users to consult and download second copies (2ª via) of Comgás gas bills from the official source via a read-only tool, with prepaid per-query credit.

Turns Google Solar API roof data for a single building into an installer-ready geometry packet with per-segment pitch, azimuth, area, sunshine and derived usable area, steepness, complexity and shading, plus JSON, Markdown and an SVG sketch. Optionally adds pre-GA roof geometry data with facet polygons and obstacles.

An MCP server that connects AI assistants to the ZONT heating system via the official REST API. It enables users to monitor device states, control heating modes, and perform diagnostics using natural language.

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