"A microcontroller with image processing capabilities" matching MCP servers:

Fits a lithium-ion full-cell dual-water-tank model from charge/discharge voltage-capacity data for battery aging mechanism identification, with parameter fitting, batch processing, and MCP server integration.

Enables consultation of Enel RJ electricity bills through official sources, featuring download and OCR capabilities. It is a read-only MCP server that works with any MCP-compatible client, using prepaid credits.

Read-only MCP server for downloading and OCR-processing CPFL electricity bills from official sources, supporting any MCP client with prepaid per-query credits.

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

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

Enables MCP clients to search Colombian energy and gas resolutions and legal opinions, read them in chunks or by internal search, and explore each rule's regulatory graph with validity computed from the texts themselves.

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.

A Model Context Protocol server that connects Claude to your own Kia vehicle through the Kia Owners API, enabling vehicle status, location, odometer, EV charge state, and confirm-gated commands for doors, climate, and charging.

Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.

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

An MCP server that exposes the U.S. Energy Information Administration (EIA) Open Data API, enabling LLMs to browse and query energy data across 17 datasets with generic, composable tools.

Automatically generates borehole structure diagrams from well data, supporting multiple well types and returning simplified image paths to reduce token usage.

Connects a MyToyota or MyLexus Europe account to Claude and other MCP clients, enabling natural-language access to fuel, range, location, trips, health, climate, charging data, and remote commands such as lock, climate, and charging.

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.

Carbon-aware MCP scheduler that defers "do it later" / "by tomorrow" / "overnight" LLM tasks to the cleanest electricity-grid hour inside a deadline — 40-70% lower CO2 per task, 50% cheaper via Anthropic/OpenAI Batch APIs. 9 MCP tools, per-task carbon receipts to local SQLite, Apache-2.0.

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

Exposes a single read-only tool that retrieves live Huawei SUN2000 inverter telemetry over local Modbus TCP, including model, firmware, active power, daily and lifetime yield, device status, and observation timing. Readings are briefly cached, with failures returned as errors rather than stale or fabricated values.

Provides real-time South African load shedding data through the EskomSePush API. Enables users to check current load shedding stages, monitor API usage, and access area-specific schedules and searches with natural language queries.

Enables AI agents to query live solar telemetry from public SolarNetwork sites, detect dated equipment faults with peer-relative analysis, and generate printable PDF service reports for field technicians.

Enables AI agents to choose the lowest-carbon cloud region for a workload, with tools for ranking regions by carbon intensity and latency, and for finding optimal start times to reduce emissions.