HeatPumpHQ MCP Server – A One‑Stop Engine for HVAC Design and Economics

The HeatPumpHQ MCP server fills a critical gap for architects, contractors, and energy consultants who rely on AI assistants to provide instant, data‑driven HVAC solutions. Traditional heat‑pump sizing tools are often isolated desktop applications or spreadsheets that require manual data entry and domain expertise. HeatPumpHQ exposes a rich, declarative API over the Model Context Protocol that lets Claude compute BTU requirements, select specific unit models, and generate detailed cost projections—all from a natural‑language prompt. This means a developer can ask the assistant, “Help me size a heat pump for my 2000 sq ft home in Boston,” and receive a fully‑validated recommendation with no intermediate steps.

At its core, the server implements two delivery modes: a hosted HTTP endpoint that supports Server‑Sent Events for streaming results, and a local FastMCP JSON‑RPC server for offline or custom deployments. The hosted service is zero‑setup; a single configuration line in Claude Desktop’s settings pulls the server from . This eliminates dependency management, ensures the latest bug fixes, and guarantees 99.9 % uptime on a dedicated infrastructure.

Key capabilities are organized around the HVAC design lifecycle:

• Quick Sizing – Calculates heating and cooling loads using climate zone, square footage, and building age. It returns specific heat‑pump models with efficiency ratings and supports single‑zone or multi‑zone configurations.
• Cost & Savings Analysis – Projects ten‑year operating costs, compares alternative fuels (gas, oil, electric), and breaks down monthly savings with seasonal variations.
• Cold‑Climate Performance – Provides capacity curves at design temperatures, evaluates backup heat needs, and verifies viability down to ‑15 °F.
• Installation Cost Estimation – Aggregates regional labor, permit fees, and ductwork complexity; includes rebate eligibility.

These features translate into tangible use cases: a contractor can quickly validate a proposed system before quoting, an energy auditor can generate savings reports for client presentations, and a homeowner can evaluate the financial impact of upgrading to a high‑efficiency unit—all through conversational AI. The server’s output is structured yet human‑readable, allowing developers to pipe results into dashboards, spreadsheets, or further AI reasoning steps.

What sets HeatPumpHQ apart is its blend of zero‑setup convenience and domain depth. By exposing a single, well‑documented MCP interface, the server removes friction from the AI workflow while delivering industry‑standard calculations. Developers who already integrate MCP servers for natural language processing now gain a turnkey HVAC companion, reducing the need to embed proprietary libraries or maintain local datasets. This integration makes it straightforward to build end‑to‑end solutions that combine AI dialogue, real‑time sizing logic, and cost analytics—all without leaving the Claude ecosystem.