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    Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.
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    MIT
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    Connect AI assistants to Victron Energy systems to read real-time solar, battery, grid, and inverter data from your local network via Modbus TCP or MQTT.
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    Enables AI agents to interact with a user's Fill-Rite fuel management system, with token refresh handling for continuous access.
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    An MCP server that enables natural language interaction with the MeteoControl VCOM API v2 for monitoring solar array installations. It allows users to retrieve real-time and historical energy data, system alerts, and detailed asset configuration metrics.
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    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.
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    PyPSA MCP is a Model Context Protocol (MCP) server for creating, analyzing, and optimizing energy system models using PyPSA (Python for Power System Analysis).
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    MIT
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    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.
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    Enables AI agents to interact with the OSDU® data platform through Model Context Protocol, providing tools for search, storage, schema management, and dataset operations.
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    Provides AI agents with structured access to the U.S. EIA Open Data API for energy data including power plants, operations, fuel prices, projections, and state CO2 emissions.
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    MIT
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    An MCP server that connects AI assistants to the ZONT heating system via the official REST API. It enables users to monitor device states, control heating modes, and perform diagnostics using natural language.
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    Enables creating, analyzing, and optimizing energy system models using PyPSA through natural language, with tools for model management, component creation, simulation, and optimization.
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    MIT
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    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.
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    Enables AI agents to search and retrieve cited evidence packs for renewable energy assets, analyze locations, and access regional energy context, all from a local DuckDB snapshot of Aragon renewable infrastructure data.
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    MCP server for controlling Honeywell Total Connect Comfort thermostats, enabling remote management of multiple thermostats through Claude interfaces. It provides tools for monitoring temperatures, adjusting setpoints, and changing system modes for thermostat control.
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