Anatome

Install

Pick the AI app you use, then copy the settings.

Passed 2/3 checks · What you ask goes through the maker’s server (anatome.dev) · ✓ Commands checked Nov 13, 2026

claude mcp add --transport http --scope user anatome https://anatome.dev/mcp

{
  "mcpServers": {
    "anatome": {
      "url": "https://anatome.dev/mcp"
    }
  }
}

{
  "servers": {
    "anatome": {
      "type": "http",
      "url": "https://anatome.dev/mcp"
    }
  }
}

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

What it can do

Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.

• 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 and media. Paginates: pass next_cursor back as `cursor`.

• get_exercise

  Fetch one exercise by name, id, or random.

• resolve_exercise

  Resolve an exercise name into primary/secondary muscle layers for rendering.

• list_muscles

  List all 23 supported muscle slugs with anatomical names.

• generate_muscle_image

  Render an SVG diagram of the human body with muscles highlighted in arbitrary colors. Returns SVG.

• 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.

• 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.

• instantiate_routine

  Schedule the signed-in user's routine into planned workouts from start_date. Coach assignment of another user is REST-only.

• search_foods

  Search food products by name (Open Food Facts + USDA). Returns macros per 100g.

• lookup_barcode

  Lookup a food product by EAN/UPC barcode.

• log_workout

  Log a workout with exercise sets (strength or cardio unified). Requires an app user context.

• get_workouts

  List the current app user's workouts (most recent first).

• log_meal

  Log a meal (calories + macros + optional ingredients) for the current app user.

• get_meals

  List the current app user's meals for a date range.

• log_water

  Log water intake (ml) for the current app user.

• 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). Logging weight enables bodyweight-inclusive volume analytics.

• 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 range. Requires an app user context.

• 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 fallback bodyweight for bodyweight-inclusive volume when no dated weight metric exists.

• get_profile

  Get the current app user's fitness profile (height, weight, macro + water goals, diet, active sports). Requires an app user context.

• log_cardio

  Log a cardio activity (run/bike/swim/etc.) for the current app user. Supports duration, distance, HR, power, calories.

• get_cardio_activities

  List the current app user's cardio activities (most recent first).

• ai_parse_meal

  Parse free-text meal description ('2 eggs and toast with butter') into structured items with grams + macros.

• 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).

• ai_meal_plan

  Draft a meal plan. Not medical advice. confirm:true required. Pass health constraints so the draft can honour them.

• ai_workout_plan

  Draft a workout plan. Not medical advice. confirm:true required. Pass health constraints so the draft can honour them.

• 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 bodyweight exercises so recovery reflects real load.

• 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-User-Id.

• get_water

  List the current app user's water intake entries for a date range. Requires X-App-User-Id.

• 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.

• delete_meal

  Delete a logged meal by id (soft delete, 30-day recovery window). Requires X-App-User-Id.

• 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 separate, so a subset can be relabelled. Adding a set is log_workout, not this.

• delete_workout

  Delete a logged workout and its sets by id (soft delete, 30-day recovery window).

• 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.

• 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 entries after it; omit `since` for a first sync. seq is a global counter: gaps in your feed are oth

• 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`. Identity comes from the token, not a caller-supplied user id.

• 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; correlate takes metric_a vs metric_b. Only completed sets count.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 13, 2026

• ! Caution

  Maker matches the repo

  The registry lists no source repo, so we cannot match the publisher (anatome.dev) to the code

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 149 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 36 tool descriptions and found no hidden instructions to the AI

User reviews

No reviews yet

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Compared with others in Games, sports, food & learningi

• More stars than 0% of the other 1478 servers in this category
• Published to the registry more recently than 19% of the other 1478 servers in this category
• Basic checks equal to or better than 60% of the other 1478 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Install

README from the maker

No README found in the repo