"A system or program using SSE instead of STDIO" matching MCP servers:

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.

Live and historical electricity prices, demand, generation mix and carbon intensity for 25 grid zones (US, Europe, GB, Australia). Hosted endpoint plus local stdio bridge; free sample mode, free API key, or x402 pay-per-call.

Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.

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

Enables MCP clients to pull US ZIP-code-level electricity data — Scope 2 location- and market-based emission factors, Scope 1 fuel factors, hourly grid carbon intensity, plant-level emissions, retail rates, and utility tariffs — for carbon accounting, multi-site comparison, and finding the cleanest hours to run flexible loads. It requires no API key or signup and works as either a hosted remote endpoint or a local stdio process.

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

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

Enables AI agents to interact with a user's Fill-Rite fuel management system, with token refresh handling for continuous access.

MCP server for querying and simulating the dispatch plan of a solar PV + battery system in the Chilean electricity market, using deterministic optimization and optional DRL.

Enables Claude to validate photovoltaic system specifications and deterministically generate single-line diagrams with IEC 60617 symbols, exporting to DXF/PNG headlessly or to live AutoCAD 2027 for DWG and PDF output.

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.

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.

Browse and query the U.S. Energy Information Administration API v2 — electricity, petroleum, natural gas, coal, forecasts, and more via MCP. STDIO or Streamable HTTP.

PyPSA MCP is a Model Context Protocol (MCP) server for creating, analyzing, and optimizing energy system models using PyPSA (Python for Power System Analysis).

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 remote control of SwitchBot Plug Mini smart plugs via the SwitchBot Open API, including listing devices, checking power status, and turning on/off or toggling plugs through MCP tools, secured by GitHub OAuth.

Enables real-time ISO New England electricity market data via MCP, including five-minute locational marginal prices, system load, and generation fuel mix for the six New England states.

Enables access to real-time electricity data for a 15-state US region plus Manitoba: fuel mix, five-minute wholesale prices, binding transmission constraints, load and forecasts, and wind/solar output. Can run as a remote MCP endpoint or a local stdio server with no authentication.

A Model Context Protocol (MCP) server that provides comprehensive access to Tigo Energy solar system data and analytics. It enables AI assistants to interact with your Tigo solar monitoring system to retrieve production data, performance metrics, system health information, and maintenance insights.

Enables AI agents to search U.S. hydraulic fracturing disclosure records — well-level frac job details (operator, API number, location, dates, base fluid volumes) and the disclosed chemical additives per job — by state, county, operator, or API number, plus lookups of where a given chemical has been used by CAS number. Responses include source, license, and coverage-window metadata so callers can distinguish missing data from out-of-window disclosures.