Popular MCP Servers

MCP server enabling AI assistants to automatically perform carbon footprint modeling, product queries, and emission analysis via the Carbonstop Cloud API.

Description: Data-center, power & gas intelligence MCP server. 33 tools covering 21,000+ data-center facilities (170+ countries), 232 US power markets scored by the DC Hub Power Index (DCPI), 2,000+ tracked M\&A deals, ISO grid telemetry (PJM, ERCOT, CAISO, MISO, SPP, NYISO), fiber routes, energy pricing. License: Free to cite (CC-BY-4.0). Existing distribution: In the official MCP registry; indexe

MCP server for Kardashev Labs US grid data, giving agents live LMP, carbon intensity, load, curtailment, interconnection queues, ERCOT large loads, and the public RT-DA spread forecast track record. Requires no API key.

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.

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.

Offshore oilfield services: query FEODE's well plug & abandonment, subsea wellhead (BV+CCS classed), continuous circulation drilling, and a NOV Grant Prideco drill-string spec reference.

The PGIQ Rating as agent tools: where to site or schedule a large electricity load across 67 global power markets. Wraps a read-only REST API returning reasoned, cited ratings across access, availability, cost, momentum, and carbon, plus live grid snapshots and cheapest-window scheduling.

Enables monitoring and control of SwitchBot devices (temperature sensors, plugs, bots) via Claude Desktop or Home Assistant.

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.

MCP server for the German energy market master data register (MaStR), enabling querying of energy units, actors, grid connections, and more via 21 SOAP and public tools.

Connects Claude and other MCP clients to myGEKKO building controllers via the official Query API, enabling natural-language queries and control of smart-home devices. It is read-only by default, with write actions available only through explicit opt-in and safety policies.

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 users to search generator guidance, check connector and receptacle compatibility, and calculate cord sizing based on distance and voltage drop.

MCP server that connects to Felicity Solar cloud battery data, allowing natural language queries about battery status, cell voltages, and charge state.

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.

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

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.

Provides professional-grade data center engineering calculations including cooling, power, GPU thermal optimization, UPS/battery sizing, tier classification, and commissioning workflows, compliant with ASHRAE and Uptime Institute standards.

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

MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.