About HeatPump
HeatPump is an MCP server published by subspace-lab in the Developer Tools category: open-source MCP server for heat pump sizing, cost estimation, and performance analysis tools for Claude. It has been installed 0 times through Conduid.
The repository has 3 stars and 1 forks, with the last commit 10 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx heatpump-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about HeatPump
Powered by Claude · Grounded in docs
Security checks
- ·README presentNot checked yet.
- ·License declaredNot checked yet.
- ·Tests presentNot checked yet.
- ·Dependencies pinnedNot checked yet.
- ·No dynamic code executionNot checked yet.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
HeatPump MCP Server
A Model Context Protocol (MCP) server for residential heat pump sizing, cost estimation, and cold-climate performance verification. Use with AI assistants like Claude Desktop, Claude Code, Cursor, and other MCP clients.
Works out-of-the-box with bundled data - no API keys required!
Quick Start
1. No Installation Needed!
The server runs directly via uvx - no installation required. Your MCP client will handle this automatically.
2. Configure Your MCP Client
Choose your preferred AI assistant:
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"heatpump-calculator": {
"command": "uvx",
"args": ["--refresh", "--from", "git+https://github.com/subspace-lab/heatpump-mcp-server.git", "heatpump-mcp-server"]
}
}
}
Restart Claude Desktop.
Add to .claude/mcp.json in your workspace:
{
"mcpServers": {
"heatpump-calculator": {
"command": "uvx",
"args": ["--refresh", "--from", "git+https://github.com/subspace-lab/heatpump-mcp-server.git", "heatpump-mcp-server"]
}
}
}
Restart VS Code.
Add to Cursor's MCP settings (Settings > MCP):
{
"mcpServers": {
"heatpump-calculator": {
"command": "uvx",
"args": ["--refresh", "--from", "git+https://github.com/subspace-lab/heatpump-mcp-server.git", "heatpump-mcp-server"]
}
}
}
Restart Cursor.
Any MCP-compatible client can use:
{
"mcpServers": {
"heatpump-calculator": {
"command": "uvx",
"args": ["--refresh", "--from", "git+https://github.com/subspace-lab/heatpump-mcp-server.git", "heatpump-mcp-server"]
}
}
}
3. Start Using
That's it! The server includes:
- 81 heat pump models from major manufacturers
- 2024 state-average electricity rates for all US states
- TMY3 weather station data for climate zones
No API keys needed to get started.
Features
🔧 Tools (Calculators)
calculate_heat_pump_sizing: Single-zone BTU sizing with humidity considerationscalculate_multi_zone_sizing: Floor-by-floor load calculations for complex homesestimate_energy_costs: Bill comparison and 10-year payback analysischeck_cold_climate_performance: Verify capacity at design temperatureget_electricity_rate: Fetch current electricity rates by ZIP codelist_heat_pump_models: Browse 81 heat pump models with specs
📚 Resources (Data Access)
design-temps/{zip_code}: Climate data and design temperaturesheat-pump-models: Complete model database with BTU, HSPF2, pricesclimate-zones: ASHRAE climate zone reference
💡 Prompts (Guided Workflows)
size-heat-pump: Step-by-step sizing guidanceanalyze-costs: Cost comparison workflowverify-cold-climate: Cold climate suitability check
Example Interactions
Sizing a Heat Pump
User: I need help sizing a heat pump for my 2000 sq ft home built in 1995 in ZIP 02138.
AI: [Uses calculate_heat_pump_sizing tool]
Based on your location (Cambridge, MA - Climate Zone 5A) and home characteristics:
- Required BTU: 80,000 BTU
- Recommended range: 72,000 - 88,000 BTU
- Design temperature: 6°F
...
Cost Analysis
User: What would a Mitsubishi MXZ-3C30NA cost to operate vs my gas furnace?
AI: [Uses estimate_energy_costs tool]
Annual cost comparison:
- Heat pump: $1,850/year (using bundled state average rate)
- Gas furnace: $2,400/year
- Annual savings: $550
- Payback period: 8.2 years
...
Cold Climate Verification
User: Will a Fujitsu AOU24RLXFZ work in Minneapolis?
AI: [Uses check_cold_climate_performance tool]
Cold climate analysis:
- Design temp: -13°F
- Heat pump capacity at design: 18,000 BTU
- Your heating load: 75,000 BTU
- Coverage: 24% (Inadequate)
- Recommendation: You'll need substantial backup heat...
Advanced Configuration
Optional: Live Electricity Rate Data
For more accurate electricity rates, you can optionally provide an EIA API key:
-
Get a free EIA API key: https://www.eia.gov/opendata/register.php
-
Add to your MCP client config:
{
"mcpServers": {
"heatpump-calculator": {
"command": "uvx",
"args": ["--refresh", "--from", "git+https://github.com/subspace-lab/heatpump-mcp-server.git", "heatpump-mcp-server"],
"env": {
"EIA_API_KEY": "your_eia_api_key_here"
}
}
}
}
Or create a .env file in your working directory:
# Optional: For live electricity rate lookups
EIA_API_KEY=your_eia_api_key_here
Note: Without an API key, the server uses 2024 state-average electricity rates, which are generally accurate for cost estimates.
Installation from Source
For Development or Customization
git clone https://github.com/subspace-lab/heatpump-mcp-server.git
cd heatpump-mcp-server
uv pip install -e .
For Local Installation (Advanced)
If you prefer to install the package locally instead of using uvx:
# Install from GitHub
uv pip install git+https://github.com/subspace-lab/heatpump-mcp-server.git
# Then configure your MCP client to use the local installation:
{
"mcpServers": {
"heatpump-calculator": {
"command": "heatpump-mcp-server"
}
}
}
Note: Using uvx with --refresh is recommended for most users as it automatically updates to the latest version.
Architecture
Built on FastMCP for easy MCP server development.
Data Sources
- Heat Pump Models: Bundled database of 81 models (Mitsubishi, Fujitsu, Daikin, LG, etc.)
- Climate Data: TMY3 weather station database with design temperatures
- Electricity Rates: Bundled 2024 state averages (EIA API optional for live data)
Calculation Methods
- Sizing: Climate-zone specific BTU/sqft coefficients based on building age and insulation
- Costs: Monthly degree-day analysis with heat pump COP curves
- Cold Climate: Manufacturer capacity curves with temperature derating
Development
Setup Development Environment
# Clone repo
git clone https://github.com/subspace-lab/heatpump-mcp-server.git
cd heatpump-mcp-server
# Install with dev dependencies
uv pip install -e ".[dev]"
# Run tests
pytest
# Lint code
ruff check .
Project Structure
heatpump_mcp_server/
├── src/heatpump_mcp_server/
│ ├── server.py # Main MCP server
│ ├── tools.py # Calculator tools
│ ├── resources.py # Data resources
│ ├── prompts.py # Guided prompts
│ ├── config.py # Configuration
│ ├── models/ # Pydantic models
│ └── services/ # Business logic
│ ├── quick_sizer_service.py
│ ├── bill_estimator_service.py
│ ├── cold_climate_service.py
│ └── ...
├── data/ # Bundled data files
│ ├── hpmodels.json # 81 heat pump models
│ └── eeweather_stations.json # Weather data
├── tests/
├── pyproject.toml
└── README.md
Contributing
Contributions welcome! Areas for improvement:
- Additional heat pump models
- More weather stations for better coverage
- Manual J load calculation support
- International climate zone support
License
MIT License - see LICENSE file for details.
Acknowledgments
- Climate data from EEWeather
- Heat pump specs compiled from manufacturer data
- Built with FastMCP
- Electricity rate fallbacks from EIA
Support
README mirrored from the source repository 4 months ago. The original is authoritative.