"A tool for planning and managing software projects" matching MCP servers:

Enables control of Fibaro Home Center devices, scenes, variables, and system administration through natural language.

Gives Claude, Cursor, VS Code and other MCP clients safe, structured access to an OpenSolar organisation's projects, contacts, systems, files, commercial settings and Teams sharing via the documented OpenSolar API. Runs self-hosted with your own bearer token, offering curated tools for searching, summarising, comparing, updating and sharing solar project data.

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

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.

Model Context Protocol (MCP) server for offshore robotics, AUV bathymetric survey planning, API 17D / ISO 13628-8 ROV rotary valve intervention interfaces (Class 1 to 7), DNV-RP-B401 cathodic protection evaluation, and ASME PCC-1 subsea bolted flange preloads.

Connects AI agents to energy infrastructure with 30+ tools for managing sites, assets, dispatch, settlements, compliance, and carbon tracking.

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.

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.

Provides LLMs with access to news and information about renewable energy projects and planning in Germany via the Nefino API, enabling location-based queries with topic and date filtering.

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.

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

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.

MCP server for consulting and downloading Light utility bills using CEP and OCR from official sources. Offers a single read-only tool with pre-paid pricing, hosted on api.mcp.ai.

Enables home solar energy planning by estimating PV output, validating consumption plans against generation and battery constraints, and automatically shifting flexible loads to ensure power availability during scheduled outages.

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.

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.

Unofficial MCP server for the messdienst24.de utility portal, providing tools to retrieve heating and hot-water consumption data, download PDF reports, and compare usage trends.

An MCP server that lets an MCP client control IKEA TRÅDFRI smart plugs paired to a DIRIGERA hub via its local REST API.

Read-only MCP server for Home Assistant that computes statistical summaries, trends, and session detection from recorded sensor history, returning compact tables instead of raw data so small local models can answer questions about energy usage, climate, and appliance activity without token-heavy arithmetic.