Anatome
Log workouts and meals by voice. Access 873 exercises, muscle diagrams, and food nutrition data.
Connects to a fitness tracking platform with 873 exercises, muscle anatomy diagrams, and food database. Muse can log workouts, meals, body metrics, and water intake; generate personalized workout and meal plans; and track recovery and progress over time.
Try asking Muse: "Log my workout today: three sets of ten bench press at 185 pounds, then a five-mile run."
Source: Found in the official MCP Registry (dev.anatome/anatome) · First listed September 24, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 1 h ago.
Is it safe to connect?
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://anatome.dev/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 193ms. Worked in 100% of checks over 30 days.
Screening · September 24, 2026
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 36
search_exercisesSearch 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`.get_exerciseFetch one exercise by name, id, or random.resolve_exerciseResolve an exercise name into primary/secondary muscle layers for rendering.list_musclesList all 23 supported muscle slugs with anatomical names.generate_muscle_imageRender an SVG diagram of the human body with muscles highlighted in arbitrary colors. Returns SVG.list_routinesBrowse the curated workout routine library (PPL, upper/lower, full-body, 5x5, etc.). Filter by difficulty, goal, split_type, days_per_week. Returns minimal list.get_routineFetch 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.instantiate_routineSchedule the signed-in user's routine into planned workouts from start_date. Coach assignment of another user is REST-only.search_foodsSearch food products by name (Open Food Facts + USDA). Returns macros per 100g.lookup_barcodeLookup a food product by EAN/UPC barcode.log_workoutLog a workout with exercise sets (strength or cardio unified). Requires an app user context.get_workoutsList the current app user's workouts (most recent first).log_mealLog a meal (calories + macros + optional ingredients) for the current app user.get_mealsList the current app user's meals for a date range.log_waterLog water intake (ml) for the current app user.log_body_metricLog 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.get_body_metricsList 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.upsert_profileUpsert 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.get_profileGet the current app user's fitness profile (height, weight, macro + water goals, diet, active sports). Requires an app user context.log_cardioLog a cardio activity (run/bike/swim/etc.) for the current app user. Supports duration, distance, HR, power, calories.get_cardio_activitiesList the current app user's cardio activities (most recent first).ai_parse_mealParse free-text meal description ('2 eggs and toast with butter') into structured items with grams + macros.ai_photo_macrosAnalyze 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).ai_meal_planDraft a meal plan. Not medical advice. confirm:true required. Pass health constraints so the draft can honour them.ai_workout_planDraft a workout plan. Not medical advice. confirm:true required. Pass health constraints so the draft can honour them.get_muscle_recoveryPer-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.get_nutrition_dailyPer-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.get_waterList the current app user's water intake entries for a date range. Requires X-App-User-Id.update_mealCorrect 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.delete_mealDelete a logged meal by id (soft delete, 30-day recovery window). Requires X-App-User-Id.update_setsCorrect 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.delete_workoutDelete a logged workout and its sets by id (soft delete, 30-day recovery window).export_dataExport 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.get_eventsWhat 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 othmy_training_contextReturns 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.get_progressAny 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.Recent checks
Link
https://anatome.dev/mcpQuestions about Anatome in Muse
How do I connect Anatome to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Anatome to help me. It is a free service with an MCP server at https://anatome.dev/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
Is Anatome working right now?
At the last check (September 28, 2026, 07:45 UTC) the endpoint was working, answering in 193ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
Is Anatome safe to connect to Muse?
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can Anatome do in Muse?
It exposes 36 tools, including search_exercises, get_exercise, resolve_exercise, list_muscles. For example, you could ask Muse: "Log my workout today: three sets of ten bench press at 185 pounds, then a five-mile run."
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