Anatome MCP Server

by anatome Your server? Claim it

answering

Anatome is answering right now. Last checked 2 min ago. It exposes 36 tools.

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

Uptime history 74 days of history · worst day 93%

74 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

361 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 24

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 13 August 2026. No other catalogue keeps this.

16 Aug a tool description was rewritten get_events

13 Aug 7 tools changed the parameters they ask for10 times that day ai_meal_plan, ai_workout_plan, export_data and 4 more

13 Aug 7 tool descriptions were rewritten ai_meal_plan, ai_workout_plan, export_data and 4 more

13 Aug 4 tools disappeared get_nutrition_weekly, get_ppl_day, get_weekly_checkins and 1 more

13 Aug a tool appeared update_sets

13 Aug a tool changed version

and 3 more, back to 13 August 2026

Anatome missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

Settings → Connectors → Add custom connector, then paste this address

https://anatome.dev/mcp

~/.codex/config.toml

[mcp_servers.anatome]
url = "https://anatome.dev/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 36

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

log

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.

log_cardio

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

log_meal

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

log_water

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

log_workout

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

meal

ai_meal_plan

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

delete_meal

Delete a logged meal by id (soft delete, 30-day recovery window). 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.

workout

ai_workout_plan

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

delete_workout

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

body

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.

cardio

get_cardio_activities

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

events

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, not lost data. Judge completeness from has_more, not seq.

exercise

get_exercise

Fetch one exercise by name, id, or random.

exercises

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`.

export

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.

foods

search_foods

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

generate

generate_muscle_image

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

instantiate

instantiate_routine

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

lookup

lookup_barcode

Lookup a food product by EAN/UPC barcode.

meals

get_meals

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

muscle

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.

muscles

list_muscles

List all 23 supported muscle slugs with anatomical names.

nutrition

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.

parse

ai_parse_meal

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

photo

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).

profile

get_profile

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

progress

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.

resolve

resolve_exercise

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

routine

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.

routines

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.

sets

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.

training

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.

upsert

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.

water

get_water

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

workouts

get_workouts

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

Tools removed

Tools this server used to expose. Anything built against them stopped working on the day they went.

get_nutrition_weekly

removed 13 Aug 2026

get_ppl_day

removed 13 Aug 2026

get_weekly_checkins

removed 14 Aug 2026

log_weekly_checkin

removed 14 Aug 2026

Endpoints

URL	Transport	State	Latency	Checked
https://anatome.dev/mcp	streamable-http	answering	264 ms	2 min ago

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Anatome — questions

Answers built from our own checks of this server.

What can Anatome do?

It exposes 36 tools, read directly from the server on our last check. Among them: ai_meal_plan, ai_parse_meal, ai_photo_macros, ai_workout_plan, delete_meal, delete_workout and 30 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is Anatome mostly used for?

Its tools cluster around log, meal and workout. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is Anatome working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 361 ms. The bar chart above shows every period we have measured.

Did Anatome ever remove tools?

Yes. get_nutrition_weekly, get_ppl_day, get_weekly_checkins, log_weekly_checkin are no longer exposed — we recorded the date each one disappeared. A tool vanishing usually means a breaking change for anything that depended on it.

How do I connect Anatome?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Anatome need an API key?

No. Anatome completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 36 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Anatome?

It answers our handshake in 361 ms on average, which is faster than 41% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.