Stroomr gives AI assistants live local context for energy-aware decisions. Instead of manually checking weather forecasts and dynamic electricity prices, an agent can use Stroomr to recommend the cheapest, smartest, or most sustainable time to run appliances, charge devices, schedule automation, or plan household energy use.
Best use cases
- Find the cheapest hours to run a washing machine, dishwasher, dryer, or EV charger.
- Compare today’s and tomorrow’s dynamic energy prices.
- Plan appliance usage around local weather conditions.
- Help smart-home agents make better energy scheduling decisions.
- Explain whether now is a good time to consume electricity.
Server Config
{
"mcpServers": {
"stroomr": {
"command": "node",
"args": [
"c:/Personal/stroomr-mcp/dist/index.js"
],
"cwd": "c:/Personal/stroomr-mcp",
"env": {
"STROOMR_LAT": "52.0059762",
"STROOMR_LON": "4.5938032",
"STROOMR_PRICE_AREA": "NL",
"STROOMR_OUTPUT_FORMAT": "structured"
}
}
}
}