"Building Agentic AI Solutions" matching MCP servers:

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 AI assistants to create, edit, and simulate EnergyPlus building energy models via natural language. Supports schema exploration, model editing, simulation execution, and documentation search.

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

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.

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.

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

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.

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.

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

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.

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.

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.

An MCP server that wraps the EPA ENERGY STAR Portfolio Manager REST API, enabling AI assistants to query and update building energy data.

Enables natural language interaction with OpenStudio building energy simulation, allowing creation, querying, and modification of models, running EnergyPlus simulations, and analyzing results.

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

Enables LLM agents to access real-time wind turbine SCADA telemetry, verify ML-detected faults, and run agentic RAG diagnostics through MCP tool endpoints.

Provides read-only access to Shelly Cloud energy data, including live power, lifetime energy, and historical consumption with cost, enabling AI agents to monitor electricity usage without device control.

Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.