mcp-tirepressure
Related Servers
Alternatives to mcp-tirepressure
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceProvides personalized recommendations for optimal outdoor exercise times by integrating weather data, Garmin Connect training schedules, and user performance metrics.2Apache 2.0
- FlicenseNot gradedqualityDmaintenanceProvides real-time weather data and forecasts for any location using the OpenWeatherMap API. Supports current weather conditions, 5-day forecasts, and weather alerts with optional demo data when no API key is configured.-
- FlicenseBqualityDmaintenanceProvides weather forecasts and active alerts from the US National Weather Service API for US locations.2-
- AlicenseNot gradedqualityCmaintenanceEnables natural language queries about Ambient Weather personal weather station data, including current conditions and device info.MIT
- FlicenseNot gradedqualityBmaintenanceProvides current weather, forecasts, trend predictions, and personalized recommendations for any location using the Open-Meteo API.-
- AlicenseNot gradedqualityBmaintenanceProvides US weather alerts and forecasts via the National Weather Service API with no API key required.10 npmMIT
TDQS
Scored across 4 tools
get_bikes and get_bike are clearly distinct list-vs-detail tools, but calc_pressure and get_recommended_pressure overlap noticeably. Both return front/rear pressure recommendations; the key difference is explicit surface vs live weather, which is described but could still cause selection ambiguity.
Tool names mostly follow a get_/calc_ verb_noun pattern, and the get_bikes/get_bike pair is nicely consistent. calc_pressure uses an abbreviation rather than calculate_pressure and get_recommended_pressure includes an adjective, so there are minor deviations but no chaotic mixing.
Four tools is well-scoped for a niche tire-pressure server with no bloat or obvious excess. Each tool has a distinct role in listing bikes, retrieving bike details, manual calculation, and weather-driven recommendation.
The core workflow of retrieving bike profiles and getting pressure recommendations is covered, including both manual surface input and live weather. The main gap is the lack of bike profile creation/update/delete, though profiles may be externally configured.