"Weather services or tools that support SSE protocol" matching MCP servers:

Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.

MCP server providing deterministic, standards-traceable engineering calculations for combined-cycle power plant balance-of-plant design, such as fluid properties, pipe sizing, pump NPSH, and valve sizing, with every result including method, assumptions, and warnings.

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

87+ specialized tools for German and European energy data. Direct AI access to Marktstammdatenregister (MaStR), ENTSO-E, Redispatch 2.0, and Grid Operations for utilities and datacenters.

An MCP server for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.

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 compile distribution feeders, run power flow, voltage and thermal violation checks, short-circuit and Thévenin impedance studies, hosting capacity and QSTS analyses, and add or edit elements, through 20 typed tools that return structured JSON or Markdown with the inputs that produced the results.

Enables classifying electricity meter days as active, standby, off, or unsure from 96 fifteen-minute kWh readings plus a meter reference, with batch support for up to 31 days and model metadata. Runs fully offline as a frozen scikit-learn classifier, exposing single-day and batch classification plus model-info tools over STDIO or HTTP.

Weather files (EPW/DDY) for building energy simulation, on-demand. Four tools: search the 17,000-station catalog, analyze any EPW (design conditions, HDD/CDD, DesignDay IDF emit), render 5 chart types (diurnal, wind rose, temp carpet, monthly box plot, comparison), and generate TMY/AMY/CMIP6-morphed scenarios with UHI, extreme events, and wildfire smoke overlays. 3 of 4 tools work without API key.

Enables local control of an installed PVsystCLI 8 on Windows, letting a client check license quota, list workspace projects and variants, build SFI definitions, run existing project/variant simulations, convert staged weather data into MET files, and summarize numeric result columns. It exposes only seven typed tools with filename-based access to fixed workspace folders, and never overwrites existing output files.

Enables AI assistants to list demo inverter sites, inspect production, pull weather context, and get deterministic panel-cleaning recommendations over MCP using synthetic solar operations data.

Enables AI agents to interact with the OSDU® data platform through Model Context Protocol, providing tools for search, storage, schema management, and dataset operations.

Enables AI assistants to interact with OSDU platform services including search, data management, and schema operations.

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

MCP server for the OCPI SDK that enables AI-assisted communication with EV charging infrastructure via the Open Charge Point Interface protocol.

Connects MCP clients such as OpenCode or Claude to Tauron eLicznik energy data, exposing tools to list metering points, retrieve consumption/generation/net energy metrics, and fetch cumulative meter readings.

Provides tools to search, inspect, and query energy open data from ODRE (electricity & gas production, consumption, grid load, renewables) using natural language or direct tool calls.

Enables AI assistants to interact with EV charging infrastructure through OCHP (Open Clearing House Protocol) services.

An AI-powered EV Digital Twin platform for battery health monitoring, predictive maintenance, fleet analytics, and intelligent decision support using MCP tools for SOH prediction and RUL estimation.

MCP server that enables AI-powered EV charging station management, including live session tracking, automatic battery state detection, remote cable unlock, and RAG-based technical support from OCPP documentation.