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90,173 servers. Updated
20 Best Email MCP Servers: compared and ranked, September 2026Ranked from 2,412 matching servers on stars, growth, downloads and maintenance. Updated .

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"Integrating Claude AI with Microsoft Outlook" matching MCP servers:

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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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    Apache 2.0
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    MCP server that provides live facility data access and operational tools, enabling the AI agent to query sensor readings, HVAC status, energy usage, alerts, and execute confirmed maintenance actions.
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    Read-only MCP server integrating with the Victron VRM API to monitor solar systems, batteries, alarms, and more.
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    9 npm
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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.
    MIT
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    Personal MCP hub exposing Tesla, ChargePoint, and Outlook mail as tools, enabling natural-language queries through Gemini.
    MIT
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    A powerful MCP server that enables AI assistants like Claude to access, analyze, and optimize solar energy data from FoxESS inverters.
    3
    MIT
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    Enables calculation of the most economical fuel (gasoline, ethanol, or natural gas) based on prices and vehicle consumption, following the 70% rule for ethanol and 60% for GNV.
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    Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.
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    Enables utility operators to forecast transformer oil temperature, assess synthetic outage risk, rank impacted assets, and generate maintenance plans through IBM Bob MCP tools.
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    Nine tools for indoor climate and household energy in Germany/EU: BTU sizing for a room, portable-AC window-seal length, live heatwave outlook, appliance running costs, heating watts, dew point for safe ventilation, and balcony-storage subsidy rules. Also searches and reads 133 guides on getecoback.com; no auth, no personal data, and every answer returns its source URL.
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    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.
    6
    MIT
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    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.
    17
    293 npm
    MIT
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    DC Hub is the live Model Context Protocol layer for data-center and energy infrastructure. AI agents call 91 tools across 22,900+ facilities for land+power, grid, interconnection, fiber, and Capacity Source — with as_of timestamps. Connect: https://dchub.cloud/connect · Docs: https://dchub.cloud/ai-agents · Endpoint: https://dchub.cloud/mcp · Pro $99/mo (never $299/Founding).
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    2
    MIT
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    Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.
    36
    15 npm
    MIT
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    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.
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    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.
    26
    107 PyPI
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    MIT
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    AI assistants can size heat pumps, estimate energy costs, and verify cold-climate performance using bundled data and no API keys.
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    MIT
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    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.
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