SEMIPRO Cycling Intelligence
Analyse cycling-event GPX routes and build bounded, practical ride-fuelling carry plans.
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Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"semipro-intelligence": {
"url": "https://api.semipro.coach/mcp"
}
}
}Puntos de conexión remotos
https://api.semipro.coach/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (2)
🟢analyse_event_route(gpx_xml, gpx_base64, event)
Analyse a cycling-event GPX using SEMIPRO Event Demand Intelligence. Use this when a rider, coach or agent asks what a route will demand, which climbs or sections matter, or what kind of performance problem the course creates. This analyses the course only: it does not inspect an athlete, prescribe training, predict a result, diagnose a medical issue, or analyse a completed FIT activity.
Esquema de entrada
{
"type": "object",
"properties": {
"gpx_xml": {
"type": "string",
"description": "Complete GPX XML. Provide this or gpx_base64. Maximum decoded size: 3 MB."
},
"gpx_base64": {
"type": "string",
"description": "Base64-encoded GPX file. Provide this or gpx_xml. Maximum decoded size: 3 MB."
},
"event": {
"type": "object",
"additionalProperties": false,
"properties": {
"name": {
"type": "string",
"maxLength": 160
},
"type": {
"type": "string",
"enum": [
"road_race",
"criterium",
"time_trial",
"gran_fondo",
"sportive",
"gravel",
"mtb",
"mtb_xc",
"ultra",
"stage",
"triathlon_bike_leg",
"other"
]
},
"date": {
"type": "string",
"format": "date"
},
"start_time": {
"type": "string",
"pattern": "^([01]\\d|2[0-3]):[0-5]\\d$"
},
"course_format": {
"type": "string",
"enum": [
"point_to_point",
"loop",
"laps"
]
},
"course_laps": {
"type": "integer",
"minimum": 1,
"maximum": 100
}
}
}
},
"anyOf": [
{
"required": [
"gpx_xml"
]
},
{
"required": [
"gpx_base64"
]
}
],
"additionalProperties": false
}🟢plan_ride_fuelling(duration_minutes, ride_type, current_tolerance, carb_sources)
Turn a cycling session duration, broad work type and current carbohydrate tolerance into a bounded carbohydrate target, carry plan and timing guide. Use this when a rider needs to know how much carbohydrate to carry and how to divide it across their own gels, drink, chews or food. This is general sports-fuelling guidance: it does not provide medical nutrition, prescribe hydration or sodium, create a daily meal plan, or use connected athlete data.
Esquema de entrada
{
"type": "object",
"properties": {
"duration_minutes": {
"type": "integer",
"minimum": 15,
"maximum": 1440,
"description": "Planned cycling duration in minutes."
},
"ride_type": {
"type": "string",
"enum": [
"recovery",
"endurance",
"tempo_threshold",
"intervals",
"race_event"
],
"description": "Broad work demand. Use race_event only for a race, sportive or equivalent performance event."
},
"current_tolerance": {
"type": "string",
"enum": [
"not_established",
"up_to_45",
"up_to_60",
"up_to_75",
"up_to_90"
],
"description": "Highest carbohydrate intake in grams per hour already tolerated reliably in similar cycling."
},
"carb_sources": {
"type": "array",
"minItems": 1,
"maxItems": 12,
"description": "Optional products or foods the rider already has. Omit to receive a generic equivalent pack.",
"items": {
"type": "object",
"required": [
"name",
"form",
"carbs_g"
],
"additionalProperties": false,
"properties": {
"name": {
"type": "string",
"minLength": 1,
"maxLength": 80
},
"form": {
"type": "string",
"enum": [
"drink",
"gel",
"chew",
"food"
]
},
"carbs_g": {
"type": "integer",
"minimum": 1,
"maximum": 150
},
"max_servings": {
"type": "integer",
"minimum": 1,
"maximum": 24,
"default": 12
}
}
}
}
},
"required": [
"duration_minutes",
"ride_type",
"current_tolerance"
],
"additionalProperties": false
}Comunidad
Evidencia