anatome
Log workouts and meals by telling your AI. 873 exercises, muscle diagrams, food lookup.
¿Debería usar esto?
Calidad y seguridad
Hallazgos (3)
- HIGHTool poisoning patterns detected
- MEDIUMTool description contains suspicious base64-like encoded stringen log_body_metric
- LOWTool 'lookup_barcode' description lacks action verben lookup_barcode
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": {
"anatome": {
"url": "https://anatome.dev/mcp"
}
}
}Puntos de conexión remotos
https://anatome.dev/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (36)
🟢search_exercises(q, muscle, equipment, level, limit, ...)
Search 873 exercises by name with muscle/equipment/level filters. Rows are lean (name, ext_id, equipment, level, muscles) — enough to pick one; get_exercise returns instructions and media. Paginates: pass next_cursor back as `cursor`.
Esquema de entrada
{
"type": "object",
"properties": {
"q": {
"type": "string"
},
"muscle": {
"type": "string"
},
"equipment": {
"type": "string"
},
"level": {
"type": "string"
},
"limit": {
"type": "number",
"default": 20
},
"cursor": {
"type": "string",
"description": "next_cursor from the previous response. Omit for the first page."
},
"fields": {
"type": "string",
"description": "Extra fields, comma-separated, or `all`."
}
},
"required": [
"q"
]
}Esquema de salida
{
"type": "object",
"properties": {
"results": {
"type": "array",
"items": {
"type": "object"
}
},
"total_matched": {
"type": "number"
},
"next_cursor": {
"type": "string"
}
}
}🟢get_exercise(name, id, random)
Fetch one exercise by name, id, or random.
Esquema de entrada
{
"type": "object",
"properties": {
"name": {
"type": "string"
},
"id": {
"type": "string"
},
"random": {
"type": "boolean"
}
}
}🟢resolve_exercise(exercise)
Resolve an exercise name into primary/secondary muscle layers for rendering.
Esquema de entrada
{
"type": "object",
"properties": {
"exercise": {
"type": "string"
}
},
"required": [
"exercise"
]
}🟢list_muscles
List all 23 supported muscle slugs with anatomical names.
Esquema de entrada
{
"type": "object",
"properties": {}
}⚪generate_muscle_image(gender, view, layers)
Render an SVG diagram of the human body with muscles highlighted in arbitrary colors. Returns SVG.
Esquema de entrada
{
"type": "object",
"properties": {
"gender": {
"type": "string",
"enum": [
"male",
"female"
]
},
"view": {
"type": "string",
"enum": [
"front",
"back",
"dual"
]
},
"layers": {
"type": "array"
}
},
"required": [
"layers"
]
}Esquema de salida
{
"type": "object",
"properties": {
"svg": {
"type": "string"
},
"format": {
"type": "string"
},
"muscles_rendered": {
"type": "array"
}
}
}🟢list_routines(difficulty, goal, split_type, days_per_week, limit)
Browse the curated workout routine library (PPL, upper/lower, full-body, 5x5, etc.). Filter by difficulty, goal, split_type, days_per_week. Returns minimal list.
Esquema de entrada
{
"type": "object",
"properties": {
"difficulty": {
"type": "string",
"enum": [
"beginner",
"intermediate",
"advanced"
]
},
"goal": {
"type": "string",
"enum": [
"strength",
"hypertrophy",
"general",
"endurance",
"weight_loss"
]
},
"split_type": {
"type": "string",
"enum": [
"full_body",
"upper_lower",
"push_pull_legs",
"push_pull",
"bro",
"custom"
]
},
"days_per_week": {
"type": "number"
},
"limit": {
"type": "number",
"default": 20
}
}
}🟢get_routine(slug)
Fetch a single curated routine by slug with all days + slots fully expanded (exercises, sets, reps ranges, rest, superset groupings). The 'give me a full program' tool.
Esquema de entrada
{
"type": "object",
"properties": {
"slug": {
"type": "string"
}
},
"required": [
"slug"
]
}⚪instantiate_routine(idempotency_key, routine_id, start_date, cadence_days)
Schedule the signed-in user's routine into planned workouts from start_date. Coach assignment of another user is REST-only.
Esquema de entrada
{
"type": "object",
"properties": {
"idempotency_key": {
"type": "string"
},
"routine_id": {
"type": "string"
},
"start_date": {
"type": "string",
"description": "YYYY-MM-DD"
},
"cadence_days": {
"type": "number",
"default": 1
}
},
"required": [
"routine_id",
"start_date"
]
}🟢search_foods(q, locale, page_size)
Search food products by name (Open Food Facts + USDA). Returns macros per 100g.
Esquema de entrada
{
"type": "object",
"properties": {
"q": {
"type": "string"
},
"locale": {
"type": "string"
},
"page_size": {
"type": "number"
}
},
"required": [
"q"
]
}Esquema de salida
{
"type": "object",
"properties": {
"items": {
"type": "array",
"items": {
"type": "object"
}
},
"count": {
"type": "number"
}
}
}🟢lookup_barcode(barcode)
Lookup a food product by EAN/UPC barcode.
Esquema de entrada
{
"type": "object",
"properties": {
"barcode": {
"type": "string"
}
},
"required": [
"barcode"
]
}Esquema de salida
{
"type": "object",
"properties": {
"found": {
"type": "boolean"
},
"barcode": {
"type": "string"
},
"message": {
"type": "string"
}
}
}⚪log_workout(idempotency_key, date, title, primary_sport, sets)
Log a workout with exercise sets (strength or cardio unified). Requires an app user context.
Esquema de entrada
{
"type": "object",
"properties": {
"idempotency_key": {
"type": "string"
},
"date": {
"type": "string"
},
"title": {
"type": "string"
},
"primary_sport": {
"type": "string"
},
"sets": {
"type": "array",
"items": {
"type": "object",
"properties": {
"exercise_name": {
"type": "string"
},
"set_number": {
"type": "number"
},
"reps": {
"type": "number"
},
"weight": {
"type": "number"
},
"duration_seconds": {
"type": "number"
},
"distance_m": {
"type": "number"
},
"rpe": {
"type": "number"
},
"rest_seconds": {
"type": "number"
},
"notes": {
"type": "string"
},
"completed": {
"type": "boolean"
}
}
}
}
},
"required": [
"date"
]
}Esquema de salida
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"date": {
"type": "string"
},
"title": {
"type": "string"
}
}
}🟢get_workouts(limit, date_from, date_to)
List the current app user's workouts (most recent first).
Esquema de entrada
{
"type": "object",
"properties": {
"limit": {
"type": "number",
"default": 20
},
"date_from": {
"type": "string"
},
"date_to": {
"type": "string"
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"items": {
"type": "array"
}
}
}⚪log_meal(idempotency_key, date, meal_type, name, calories, ...)
Log a meal (calories + macros + optional ingredients) for the current app user.
Esquema de entrada
{
"type": "object",
"properties": {
"idempotency_key": {
"type": "string"
},
"date": {
"type": "string"
},
"meal_type": {
"type": "string"
},
"name": {
"type": "string"
},
"calories": {
"type": "number"
},
"protein": {
"type": "number"
},
"carbs": {
"type": "number"
},
"fats": {
"type": "number"
}
},
"required": [
"date",
"name",
"calories"
]
}Esquema de salida
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"date": {
"type": "string"
},
"name": {
"type": "string"
},
"calories": {
"type": "number"
},
"protein": {
"type": "number"
},
"carbs": {
"type": "number"
},
"fats": {
"type": "number"
}
}
}🟢get_meals(date_from, date_to)
List the current app user's meals for a date range.
Esquema de entrada
{
"type": "object",
"properties": {
"date_from": {
"type": "string"
},
"date_to": {
"type": "string"
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"items": {
"type": "array"
}
}
}⚪log_water(idempotency_key, date, amount_ml)
Log water intake (ml) for the current app user.
Esquema de entrada
{
"type": "object",
"properties": {
"idempotency_key": {
"type": "string"
},
"date": {
"type": "string"
},
"amount_ml": {
"type": "number"
}
},
"required": [
"date",
"amount_ml"
]
}Esquema de salida
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"date": {
"type": "string"
},
"ml": {
"type": "number"
}
}
}⚪log_body_metric(idempotency_key, date, metric_type, value, unit, ...)
Log a body measurement. metric_type: weight (kg), height (cm), body_fat (%), muscle_mass (kg), waist/chest/bicep/forearm/hip/thigh/calf/neck/shoulder (cm), bmi, resting_hr (bpm). Logging weight enables bodyweight-inclusive volume analytics.
Esquema de entrada
{
"type": "object",
"properties": {
"idempotency_key": {
"type": "string"
},
"date": {
"type": "string"
},
"metric_type": {
"type": "string"
},
"value": {
"type": "number"
},
"unit": {
"type": "string"
},
"notes": {
"type": "string"
}
},
"required": [
"date",
"metric_type",
"value",
"unit"
]
}Esquema de salida
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"date": {
"type": "string"
},
"metric_type": {
"type": "string"
},
"value": {
"type": "number"
}
}
}🟢get_body_metrics(metric_type, from, to, limit)
List the current app user's body metrics / measurements (weight, height, bicep, body fat, etc.), most recent first. Filter by metric_type (e.g. 'weight', 'bicep') and/or a date range. Requires an app user context.
Esquema de entrada
{
"type": "object",
"properties": {
"metric_type": {
"type": "string"
},
"from": {
"type": "string"
},
"to": {
"type": "string"
},
"limit": {
"type": "number",
"default": 100
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"items": {
"type": "array"
}
}
}🟡upsert_profile(goal, height, weight, unit_system, language, ...)
Upsert the current app user's fitness profile. Set `timezone` first: every daily total, streak and adherence window is bucketed by it and defaults to UTC. `weight` doubles as the fallback bodyweight for bodyweight-inclusive volume when no dated weight metric exists.
Esquema de entrada
{
"type": "object",
"properties": {
"goal": {
"type": "string"
},
"height": {
"type": "number",
"description": "cm"
},
"weight": {
"type": "number",
"description": "kg"
},
"unit_system": {
"type": "string",
"enum": [
"metric",
"imperial"
]
},
"language": {
"type": "string"
},
"timezone": {
"type": "string",
"description": "IANA zone name, e.g. 'Europe/Warsaw'."
},
"daily_calorie_goal": {
"type": "number"
},
"daily_protein_goal": {
"type": "number"
},
"daily_carbs_goal": {
"type": "number"
},
"daily_fats_goal": {
"type": "number"
},
"daily_water_goal_ml": {
"type": "number"
},
"daily_fiber_goal": {
"type": "number",
"description": "g/day to reach"
},
"daily_sugar_limit": {
"type": "number",
"description": "g/day to stay under"
},
"daily_sodium_limit": {
"type": "number",
"description": "mg/day to stay under"
},
"diet_type": {
"type": "string"
},
"meals_per_day": {
"type": "number"
},
"active_sports": {
"type": "array",
"items": {
"type": "string"
}
}
}
}🟢get_profile
Get the current app user's fitness profile (height, weight, macro + water goals, diet, active sports). Requires an app user context.
Esquema de entrada
{
"type": "object",
"properties": {}
}⚪log_cardio(idempotency_key, date, sport, title, duration_seconds, ...)
Log a cardio activity (run/bike/swim/etc.) for the current app user. Supports duration, distance, HR, power, calories.
Esquema de entrada
{
"type": "object",
"properties": {
"idempotency_key": {
"type": "string"
},
"date": {
"type": "string"
},
"sport": {
"type": "string"
},
"title": {
"type": "string"
},
"duration_seconds": {
"type": "number"
},
"distance_m": {
"type": "number"
},
"avg_hr": {
"type": "number"
},
"calories": {
"type": "number"
},
"notes": {
"type": "string"
}
},
"required": [
"date",
"sport"
]
}Esquema de salida
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"date": {
"type": "string"
},
"sport": {
"type": "string"
},
"duration_s": {
"type": "number"
},
"distance_m": {
"type": "number"
}
}
}🟢get_cardio_activities(limit, date_from, date_to)
List the current app user's cardio activities (most recent first).
Esquema de entrada
{
"type": "object",
"properties": {
"limit": {
"type": "number",
"default": 20
},
"date_from": {
"type": "string"
},
"date_to": {
"type": "string"
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"items": {
"type": "array"
}
}
}🟢ai_parse_meal(text, locale)
Parse free-text meal description ('2 eggs and toast with butter') into structured items with grams + macros.
Esquema de entrada
{
"type": "object",
"properties": {
"text": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"text"
]
}🟢ai_photo_macros(image_url, image_base64)
Analyze a meal image and estimate foods + macros. Pass exactly one of image_url or image_base64. Vision model, capped separately from the text AI budget (free tier 1/mo).
Esquema de entrada
{
"type": "object",
"properties": {
"image_url": {
"type": "string",
"description": "Public URL of the image. Mutually exclusive with image_base64."
},
"image_base64": {
"type": "string",
"description": "Base64-encoded image bytes, no data: prefix. Mutually exclusive with image_url."
}
},
"oneOf": [
{
"required": [
"image_url"
]
},
{
"required": [
"image_base64"
]
}
]
}⚪ai_meal_plan(days, goal, diet_type, daily_calories, confirm, ...)
Draft a meal plan. Not medical advice. confirm:true required. Pass health constraints so the draft can honour them.
Esquema de entrada
{
"type": "object",
"properties": {
"days": {
"type": "number"
},
"goal": {
"type": "string"
},
"diet_type": {
"type": "string"
},
"daily_calories": {
"type": "number"
},
"confirm": {
"type": "boolean"
},
"health": {
"type": "object",
"properties": {
"allergies": {
"type": "array",
"items": {
"type": "string"
}
},
"injuries": {
"type": "array",
"items": {
"type": "string"
}
},
"pregnancy": {
"type": "boolean"
},
"medications": {
"type": "array",
"items": {
"type": "string"
}
},
"conditions": {
"type": "array",
"items": {
"type": "string"
}
}
}
}
},
"required": [
"days",
"confirm"
]
}⚪ai_workout_plan(days_per_week, goal, experience, confirm, health)
Draft a workout plan. Not medical advice. confirm:true required. Pass health constraints so the draft can honour them.
Esquema de entrada
{
"type": "object",
"properties": {
"days_per_week": {
"type": "number"
},
"goal": {
"type": "string"
},
"experience": {
"type": "string"
},
"confirm": {
"type": "boolean"
},
"health": {
"type": "object",
"properties": {
"allergies": {
"type": "array",
"items": {
"type": "string"
}
},
"injuries": {
"type": "array",
"items": {
"type": "string"
}
},
"pregnancy": {
"type": "boolean"
},
"medications": {
"type": "array",
"items": {
"type": "string"
}
},
"conditions": {
"type": "array",
"items": {
"type": "string"
}
}
}
}
},
"required": [
"days_per_week",
"confirm"
]
}🟢get_muscle_recovery(include_bodyweight)
Per-muscle 7-day recovery % (Fitbod parity) — the 'what should I train today?' input. Recommends fresh muscles. Pass include_bodyweight=true to add the user's bodyweight to bodyweight exercises so recovery reflects real load.
Esquema de entrada
{
"type": "object",
"properties": {
"include_bodyweight": {
"type": "boolean",
"description": "If true, add the user's bodyweight to bodyweight exercises (requires a logged weight or profile.weight)."
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"muscles": {
"type": "array"
},
"threshold_volume": {
"type": "number"
},
"window_days": {
"type": "number"
}
}
}🟢get_nutrition_daily(date_from, date_to)
Per-day calories, macros, fiber/sugar/sodium/alcohol, water, targets and adherence % over a date range (default: last 7 days). The 'how am I tracking today?' tool. Requires X-App-User-Id.
Esquema de entrada
{
"type": "object",
"properties": {
"date_from": {
"type": "string",
"description": "YYYY-MM-DD"
},
"date_to": {
"type": "string",
"description": "YYYY-MM-DD (defaults to the user's today, in their timezone)"
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"from": {
"type": "string"
},
"to": {
"type": "string"
},
"days": {
"type": "array"
},
"targets": {},
"limits": {}
}
}🟢get_water(date, date_from, date_to)
List the current app user's water intake entries for a date range. Requires X-App-User-Id.
Esquema de entrada
{
"type": "object",
"properties": {
"date": {
"type": "string"
},
"date_from": {
"type": "string"
},
"date_to": {
"type": "string"
}
}
}🟡update_meal(idempotency_key, meal_id, date, meal_type, name, ...)
Correct a previously logged meal — name, macros, nutrients, portion, date or meal_type. Pass only the fields you want to change. Requires X-App-User-Id.
Esquema de entrada
{
"type": "object",
"properties": {
"idempotency_key": {
"type": "string"
},
"meal_id": {
"type": "string"
},
"date": {
"type": "string"
},
"meal_type": {
"type": "string"
},
"name": {
"type": "string"
},
"calories": {
"type": "number"
},
"protein": {
"type": "number"
},
"carbs": {
"type": "number"
},
"fats": {
"type": "number"
},
"fiber": {
"type": "number"
},
"sugar": {
"type": "number"
},
"saturated_fat": {
"type": "number"
},
"sodium": {
"type": "number",
"description": "mg"
},
"alcohol": {
"type": "number",
"description": "g of ethanol"
}
},
"required": [
"meal_id"
]
}Esquema de salida
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"date": {
"type": "string"
},
"name": {
"type": "string"
},
"calories": {
"type": "number"
},
"protein": {
"type": "number"
},
"carbs": {
"type": "number"
},
"fats": {
"type": "number"
}
}
}🔴delete_meal(meal_id)
Delete a logged meal by id (soft delete, 30-day recovery window). Requires X-App-User-Id.
Esquema de entrada
{
"type": "object",
"properties": {
"meal_id": {
"type": "string"
}
},
"required": [
"meal_id"
]
}Esquema de salida
{
"type": "object",
"properties": {
"deleted": {
"type": "string"
}
}
}🔴update_sets(set_ids, exercise, weight, reps, rpe, ...)
Correct sets already logged, by set id (log_workout returns them). Relabel the exercise, fix weight/reps/rpe, mark completed, add notes, or delete. Selection and change are separate, so a subset can be relabelled. Adding a set is log_workout, not this.
Esquema de entrada
{
"type": "object",
"properties": {
"set_ids": {
"type": "array",
"items": {
"type": "string"
}
},
"exercise": {
"type": "string",
"description": "Catalog name, ext_id, or the user's own words for a custom movement."
},
"weight": {
"type": "number"
},
"reps": {
"type": "number"
},
"rpe": {
"type": "number"
},
"completed": {
"type": "boolean"
},
"notes": {
"type": "string"
},
"delete": {
"type": "boolean"
}
},
"required": [
"set_ids"
]
}Esquema de salida
{
"type": "object",
"properties": {
"updated": {
"type": "number"
},
"deleted": {
"type": "number"
},
"missing": {
"type": "array"
}
}
}🔴delete_workout(workout_id)
Delete a logged workout and its sets by id (soft delete, 30-day recovery window).
Esquema de entrada
{
"type": "object",
"properties": {
"workout_id": {
"type": "string"
}
},
"required": [
"workout_id"
]
}Esquema de salida
{
"type": "object",
"properties": {
"deleted": {
"type": "string"
}
}
}🟢export_data(domains, confirm)
Export the signed-in user's data as JSON. Pass `domains` (e.g. meals,workouts) or confirm:true for a full copy. Identity comes from the token, never a caller-supplied user id.
Esquema de entrada
{
"type": "object",
"properties": {
"domains": {
"type": "string",
"description": "Comma-separated subset, e.g. 'meals,workouts'."
},
"confirm": {
"type": "boolean",
"description": "Required true for a full dump when domains is omitted."
}
}
}🟢get_events(since, entities, limit)
What changed since a cursor, including DELETES, which a list read cannot show. Returns {seq, entity, id, action}. Pass the last seq back as `since` on the next call to receive only entries after it; omit `since` for a first sync. seq is a global counter: gaps in your feed are other accounts' events, not lost data. Judge completeness from has_more, not seq.
Esquema de entrada
{
"type": "object",
"properties": {
"since": {
"type": "string",
"description": "Cursor from the previous call's last seq. Omit for a first sync."
},
"entities": {
"type": "string",
"description": "Optional comma-separated filter, e.g. 'workout,meal'."
},
"limit": {
"type": "number",
"default": 100
}
}
}🟢my_training_context(workout_limit, domains)
Returns a slice of the signed-in user's training picture. Default domains are workouts and today's nutrition. Pass `domains` to add checkin, notes or profile, or `domains=all`. Identity comes from the token, not a caller-supplied user id.
Esquema de entrada
{
"type": "object",
"properties": {
"workout_limit": {
"type": "number",
"default": 10
},
"domains": {
"type": "string",
"description": "Comma-separated subset. Accepted: workouts, nutrition, checkin, notes, profile, or 'all'. Default: workouts,nutrition."
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"date": {
"type": "string"
},
"domains": {},
"profile": {},
"recent_workouts": {},
"nutrition_today": {},
"latest_checkin": {},
"recent_notes": {}
}
}🟢get_progress(metric, exercise, from, to, bucket, ...)
Any progression metric for the current user — pick one in `metric`. training_load is acute:chronic (>1.5 ramping too fast, <0.8 detraining); muscle_recovery is per-muscle freshness; correlate takes metric_a vs metric_b. Only completed sets count.
Esquema de entrada
{
"type": "object",
"properties": {
"metric": {
"type": "string",
"enum": [
"prs",
"volume",
"one_rep_max",
"streaks",
"adherence",
"training_load",
"weight_trend",
"body_delta",
"muscle_recovery",
"cardio_prs",
"goal_trajectory",
"nutrition_balance",
"correlate",
"compare_periods"
]
},
"exercise": {
"type": "string",
"description": "Required for prs; optional filter for volume, one_rep_max and compare_periods."
},
"from": {
"type": "string",
"description": "YYYY-MM-DD"
},
"to": {
"type": "string",
"description": "YYYY-MM-DD"
},
"bucket": {
"type": "string",
"enum": [
"day",
"week",
"month"
]
},
"group_by": {
"type": "string",
"enum": [
"exercise",
"muscle"
],
"description": "volume only"
},
"include_bodyweight": {
"type": "boolean",
"description": "Add the user's bodyweight to bodyweight exercises (pull-ups, dips). prs, volume and muscle_recovery."
},
"days": {
"type": "number",
"description": "training_load window"
},
"sport": {
"type": "string",
"description": "training_load and cardio_prs"
},
"method": {
"type": "string",
"description": "training_load: auto | power | hr | rpe"
},
"window": {
"type": "number",
"description": "weight_trend smoothing window"
},
"goal_id": {
"type": "string",
"description": "goal_trajectory"
},
"metric_a": {
"type": "string",
"description": "correlate"
},
"metric_b": {
"type": "string",
"description": "correlate"
}
},
"required": [
"metric"
]
}Comunidad
Evidencia