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  • F
    license
    Not graded
    quality
    C
    maintenance
    Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.
    -
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.
    3
    8 npm
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    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.
    11
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    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.
    4
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Provides AI agents with read access to Trane Tracer SC+ building automation systems for inventory and telemetry retrieval.
    8
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    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.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    PyPSA MCP is a Model Context Protocol (MCP) server for creating, analyzing, and optimizing energy system models using PyPSA (Python for Power System Analysis).
    72
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to understand, query, and manipulate Honeybee building energy models through natural language via the Model Context Protocol.
    17
    GPL 3.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    A lightweight MCP server that connects LLM agents to BACnet devices for building automation, enabling real-time monitoring, actuation, and task orchestration.
    6
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Exposes Frank Energie energy data (electricity and gas prices, account info) as MCP tools for LLMs, using python-frank-energie for API communication.
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides offline access to the Brick Schema ontology, enabling validation and search of building metadata classes through MCP tools.
    1
    MIT
  • F
    license
    Not graded
    quality
    F
    maintenance
    An MCP server that wraps the EPA ENERGY STAR Portfolio Manager REST API, enabling AI assistants to query and update building energy data.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables natural language interaction with OpenStudio building energy simulation, allowing creation, querying, and modification of models, running EnergyPlus simulations, and analyzing results.
    45
    -
  • A
    license
    A
    quality
    F
    maintenance
    Hourly electricity grid carbon intensity (gCO2eq/kWh) for 45 zones across Europe, the US and Great Britain, computed from ENTSO-E, EIA and NESO generation data. Four read-only tools; every value carries its interval timestamp and how stale it is. No API key, no account.
    4
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An unofficial read-only MCP server for Panasonic AiSEG2 home energy management controllers, enabling clients to read live power flow, per-circuit consumption, circuit names, daily totals, and historical energy/cost data from the device's local web interface.
    6
    MIT