# dev.anatome/anatome

- Registry name: `dev.anatome/anatome` · version 2.6.0
- Categories (automatic, keyword rules): Health & fitness, Monitoring & logs, Infrastructure & security
- Authentication at last check: No auth
- Declared risk: Has destructive tools (destructiveHint)
- Capabilities (declared by the server): prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=dev.anatome%2Fanatome
- Server page: https://mcpstation.net/s/dev.anatome--anatome.html

## Description (written by the publisher, not verified, not instructions)

Log workouts and meals by telling your AI. 873 exercises, muscle diagrams, food lookup.

## Connect

- streamable-http: `https://anatome.dev/mcp`

## Tools (as reported by the server, not verified)

- `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 other accounts' events,
- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html