"A server for applying to jobs" matching MCP servers:

An MCP server that exposes Home Assistant's REST and WebSocket APIs as 182 tools, enabling clients like Claude Code to control lights, climate, media, automations, and more. It also provides a status dashboard and supports running as a Home Assistant app or container.

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.

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 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.

AI assistants can size heat pumps, estimate energy costs, and verify cold-climate performance using bundled data and no API keys.

An MCP server that provides access to Northwood Capital Partners' portfolio carbon data, enabling MCP-compatible agents to query emissions, analyze decarbonization gaps, and simulate reduction initiatives through natural language.

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.

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.

Enables Claude or any MCP client to read live and historical Sunsynk inverter, battery, and solar data, plus inverter settings, through the Sunsynk Connect cloud API. It is read-only and lets users ask natural-language questions about generation, consumption, charging, and configuration.

Enables natural-language querying of US utility emissions, generation mix, and climate alignment data through any MCP client.

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.

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

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.

Implementation of MCP server for GoodWe inverters

Enables parsing, analysis, and export of power measurement data from Monsoon Power Monitor PT5 files, including summary statistics, sample retrieval, trend analysis, and CSV export.

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

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

Lets an MCP client read live power from a local IoTaWatt energy monitor over its HTTP API, query history logs for energy and interval data, inspect device configuration and channel definitions, and sample current waveforms to identify load types. All tools are read-only and require no cloud account.

MCP server that enables LLMs to interact with Monta's EV charging platform for managing charge points, charging sessions, and wallet operations.

Enables AI assistants to compile distribution feeders, run power flow, voltage and thermal violation checks, short-circuit and Thévenin impedance studies, hosting capacity and QSTS analyses, and add or edit elements, through 20 typed tools that return structured JSON or Markdown with the inputs that produced the results.