Home Energy Savings Plan

Home Energy Savings Plan MCP Connector for Claude

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Analyze and optimize home energy efficiency improvements for maximum financial return.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a suite of tools to help homeowners and energy consultants make data-driven decisions about energy efficiency upgrades. By analyzing upfront costs, energy reduction, and local tariffs, you can identify the best investments for your budget. Use get_improvement_list to see available options, calculate_improvement_metrics for specific financial projections, rank_improvements_by_roi to compare multiple upgrades, or generate_budget_package to find the most efficient combination of improvements within a set budget.

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4 tools expose this connector's capabilities to your AI agent.

calculate_improvement_metrics

Calculates the financial performance of a specific efficiency improvement

generate_budget_package

Suggests the most efficient combination of improvements that fits within a strict budget

get_improvement_list

Retrieves all available efficiency improvements and their associated technical specifications

rank_improvements_by_roi

Ranks a subset of improvements based on their Return on Investment (ROI) or payback speed

See how to talk to your AI agent using Home Energy Savings Plan.

What are the available energy efficiency improvements?

The available improvements include various insulation types, high-efficiency appliances, and advanced window upgrades.

I have a budget of $2000. What is the best combination of improvements to maximize my savings?

With a $2000 budget, the most efficient package includes upgrading attic insulation and installing LED lighting, providing the highest net savings for your investment.

How long will it take for new windows to pay for themselves if my energy tariff is $0.15 per kWh?

Based on the current energy tariff, the new windows will have a payback period of 6.5 years.

You can use the `generate_budget_package` tool to find the most efficient combination of improvements that fits within your specific maximum upfront cost.

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