"Using an AI Agent for Structured Search and Traversal in a Neo4j Database" matching MCP servers:

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 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.

Enables MCP clients to query open data and a JSON API for the energy and CO2e cost of LLM tokens by model, GPU, and country.

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

Enables multi-agent orchestration of distributed energy resources through MCP tools, including simulation, real-time telemetry, dispatch control, and deterministic safety gatekeeping for grid support and demand response.

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.

An MCP server that extracts energy-usage charts from utility-bill PDFs, returning structured time-series data and annotated images.

An MCP server for calculating carbon footprints from bank statements using EPA GHG emission factors.

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

DeepPVMapper is an open source, crowdsourced verified AI map of rooftop solar systems. The MCP serves as a endpoint to allow queries to the database (1.1M+ systems) in natural language. This work is based on my former PhD work.

One-call Australian energy-market plumbing via AEMO — cited, structured responses for market data and analysis, not a data broker.

AI agent for Italian energy tariff comparison. Analyzes electricity and gas bills, compares 44+ offers from 13 providers, estimates savings with full ARERA regulated cost breakdown

Enables read-only access to a customer's Enedis Linky electricity meter data, so an agent can answer questions about daily and period consumption, half-hourly load curves, and peak power. Every call is logged, and no writes or meter changes are possible.

A lean Model Context Protocol (MCP) server that gives AI assistants like Claude structured access to a SolarEdge PV installation via the official SolarEdge Monitoring API.

Enables controlling ecobee thermostats from ChatGPT by connecting a user's ecobee account through normal browser sign-in, without an ecobee developer API key. Supports listing thermostats, reading status, setting temperature or HVAC mode, and resuming schedules.

Enables querying and retrieving details of U.S. BLM geothermal leases from the MLRS database, including search and single-lease lookup.

AI-powered BESS quoting & energy sales intelligence for Claude and any MCP client

Enables AI assistants to query Tesla vehicle data and analytics from a TeslaMate PostgreSQL database, including battery health, driving statistics, charging sessions, and custom SQL queries.

Enables generating yearly active and reactive power load time series for pandapower grids from German BDEW standard load profiles, with assignment of load categories, stochastic noise, scenarios, run manifests, plotting and time-series power flow. Also exposes run inspection, regeneration and verification so tool-calling LLM clients can produce and cite reproducible, checksummed results.

Enables an AI assistant to read your own Israel Electric Corporation account over MCP: customer details, contracts, bills, invoice PDFs, meter readings, and smart-meter consumption, with read-only access. Sign-in happens in your own browser and the session is stored only on your machine.