"A server for finding information about DolphinDB, a high-performance time-series database" matching MCP servers:

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.

Provides real-time electricity grid data including CO2 intensity, power mix, and wholesale prices, plus optimal green time windows for energy-intensive AI tasks. Supports UK, Germany, and global regions with optional API keys.

Enables access to Fronius solar inverter data via the MCP protocol, allowing real-time monitoring of energy production, consumption, and battery storage through natural language.

MCP server providing tools for AI-agents to interact with Enapter EMS.

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.

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.

Provides LLMs with access to news and information about renewable energy projects and planning in Germany via the Nefino API, enabling location-based queries with topic and date filtering.

MCP server for EG4 solar inverters, enabling real-time monitoring, performance analysis, battery health, alerts, maintenance insights, and historical data via natural language.

A physics engine for liquid-cooled GPU systems, exposed as an AI-callable MCP server. Enables thermal analysis, coolant comparison, flow optimization, and rack-level sizing via natural language queries.

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 interact with IoT device data from a smart city, including public lighting, water, and gas meters. Supports querying and management via the Model Context Protocol.

A powerful MCP server that enables AI assistants like Claude to access, analyze, and optimize solar energy data from FoxESS inverters.

A FastMCP server that wraps the U.S. Energy Information Administration Open Data API v2, enabling natural-language queries for electricity, petroleum, and other energy statistics via tools like discover_eia_route and get_eia_data.

MCP server for EmonCMS energy monitoring API, enabling AI assistants to query energy feeds, inputs, and historical data.

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 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 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.