Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,518Letters: 13Defects: 1,321counted 2 min ago
teppi

MCP serverdev.anatome/anatome

Log workouts and meals by telling your AI.
Read moreLog workouts and meals by telling your AI. 873 exercises, muscle diagrams, food lookup.
UNRATEDActivestreamable-httpanatome.dev

Overview

Score?
UNRATED 0.729
of what a free look can see, on 30 looks
Looks
35
last 18 hr ago
Tools
36

More info

URL
anatome.dev/mcp
streamable-http
Says it is
anatome 2.7.1
protocol 2025-06-18
In the record since
32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.729 · highest on record 0.8561

Toolsfrom sha256:b3ab1b726a…0aac7f

The tools this server lists, read out of the definition it returned
ToolSchema
ai_meal_plan
Draft a meal plan. Not medical advice. confirm:true required. Pass health constraints so the draft can honour them.
input · no output
ai_parse_meal
Parse free-text meal description ('2 eggs and toast with butter') into structured items with grams + macros.
input · no output
ai_photo_macros
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).
input · no output
ai_workout_plan
Draft a workout plan. Not medical advice. confirm:true required. Pass health constraints so the draft can honour them.
input · no output
delete_meal
Delete a logged meal by id (soft delete, 30-day recovery window). Requires X-App-User-Id.
input · output
delete_workout
Delete a logged workout and its sets by id (soft delete, 30-day recovery window).
input · output
export_data
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.
input · no output
generate_muscle_image
Render an SVG diagram of the human body with muscles highlighted in arbitrary colors. Returns SVG.
input · output
get_body_metrics
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 ran
input · output
get_cardio_activities
List the current app user's cardio activities (most recent first).
input · output
get_events
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
input · no output
get_exercise
Fetch one exercise by name, id, or random.
input · no output
get_meals
List the current app user's meals for a date range.
input · output
get_muscle_recovery
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 bodywei
input · output
get_nutrition_daily
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-U
input · output
get_profile
Get the current app user's fitness profile (height, weight, macro + water goals, diet, active sports). Requires an app user context.
input · no output
get_progress
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
input · no output
get_routine
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.
input · no output
get_water
List the current app user's water intake entries for a date range. Requires X-App-User-Id.
input · no output
get_workouts
List the current app user's workouts (most recent first).
input · output
instantiate_routine
Schedule the signed-in user's routine into planned workouts from start_date. Coach assignment of another user is REST-only.
input · no output
list_muscles
List all 23 supported muscle slugs with anatomical names.
input · no output
list_routines
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.
input · no output
log_body_metric
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). L
input · output
log_cardio
Log a cardio activity (run/bike/swim/etc.) for the current app user. Supports duration, distance, HR, power, calories.
input · output
log_meal
Log a meal (calories + macros + optional ingredients) for the current app user.
input · output
log_water
Log water intake (ml) for the current app user.
input · output
log_workout
Log a workout with exercise sets (strength or cardio unified). Requires an app user context.
input · output
lookup_barcode
Lookup a food product by EAN/UPC barcode.
input · output
my_training_context
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`. Ide
input · output
resolve_exercise
Resolve an exercise name into primary/secondary muscle layers for rendering.
input · no output
search_exercises
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 an
input · output
search_foods
Search food products by name (Open Food Facts + USDA). Returns macros per 100g.
input · output
update_meal
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.
input · output
update_sets
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 separat
input · output
upsert_profile
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 f
input · no output
Verify it yourselfnpx teppi-check https://anatome.dev/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2A5WMSSTRFGR72BXVB4Y