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"A system for integrating with n8n, other agents, and analyzing the crypto market" matching MCP servers:

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    MCP server for the Australian Energy Market Operator (AEMO) National Electricity Market. Plain-English access to 5-min dispatch prices, regional demand, interconnector flows, generation by fuel, rooftop PV.
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    5
    MIT
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    Solar estimates, provider comparison, energy prices and blog for Italy. 6 MCP tools for the Italian solar market.
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    MIT
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    A Model Context Protocol server providing free financial market data across 13 categories with 83 no-key tools, enabling access to stocks, indices, options, forex, crypto, energy, prediction markets, and more.
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    MIT
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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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    MIT
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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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    Apache 2.0
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    Access Great Britain electricity grid open data from the NESO API, enabling queries about generation, demand, and market data.
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    MIT
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    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.
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    MIT
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    An MCP server that enables AI assistants to look up solar permitting authorities, estimate solar production via PVWatts, and retrieve irradiance data. It streamlines the creation of solar-aware workflows by integrating industry-standard APIs like NREL.
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    MIT
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    Enables AI agents to operate a US power-grid data pipeline – ingest, plan, run, and monitor datasets like CAISO, ERCOT, and EIA-930 through MCP tools that mirror the CLI.
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    Apache 2.0
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    MCP server for Axonn, enabling access to US energy regulatory filings, real-time ISO prices, and market data.
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    MIT
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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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    Enables AI agents to understand, query, and manipulate Honeybee building energy models through natural language via the Model Context Protocol.
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    GPL 3.0
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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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    MIT
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    Enables AI agents to access and analyze Spanish electricity consumption data via the Datadis API, providing tools for supply management, consumption analysis, anomaly detection, and executive reporting.
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    MIT
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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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    Apache 2.0
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    A lightweight MCP server that connects LLM agents to BACnet devices for building automation, enabling real-time monitoring, actuation, and task orchestration.
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    5
    MIT