Anatome

安装

选择你使用的 AI 应用，然后复制设置。

通过 2/3 项检查 · 你的提问会经过开发者的服务器（anatome.dev） · ✓ 命令已检查 2026年11月13日

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"
    }
  }
}

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档，检查于 2026年11月10日。

通过互联网连接，适用于

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

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月16日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• 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.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月16日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（anatome.dev）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 671 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 36 个工具描述，未发现针对 AI 的隐藏指令

我们检查什么 → · JSON

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与“游戏、体育、美食与学习”中的其他服务器比较i

• 星标数多于此分类中其他 1521 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 1521 个服务器的 18% 更新
• 基础检查结果等于或优于此分类中其他 1521 个服务器的 60%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

功能相近的其他选择

同一分类、其他作者、命令已通过检查。官方的排在前面，再按星标排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Anime Garden

Anime Garden MCP for anime torrent discovery.

作者：yjl9903·正在增长·★ 1402·12天前更新

在云端运行✓ animes.garden

接入方法

WilmAI

Finland's Wilma school system for parents and students: schedule, homework, exams and messages.

作者：aikarjal·正在增长·↓ 1399/周·★ 86 整个仓库的星标·7天前更新

在你的电脑上运行✓ 服务方 · wilm.ai

安装

Lumify Sports Intelligence

Schedules, scores, odds, splits & explainable AI bet confidence — 8+ sports, free instant key.

作者：lumifyai·起步阶段·★ 15·4个月前更新

在云端运行✓ 服务方 · lumify.ai

接入方法

Savecraft

Savecraft serves real save game data and expert game knowledge to AI assistants.

作者：joshsymonds·起步阶段·★ 13·7个月前更新

在云端运行仓库已归档✓ 服务方 · savecraft.gg

接入方法

GoodWatch

Find movies and TV shows, track watches, and get suggestions based on your taste.

作者：alp82·起步阶段·★ 50 整个仓库的星标·27天前更新

在云端运行✓ 服务方 · goodwatch.app

接入方法

• Anime Garden — 在云端运行，无需安装 · 不需要密钥
• WilmAI — 需要安装在电脑上 · 不需要密钥
• Lumify Sports Intelligence — 在云端运行，无需安装 · 需要密钥
• Savecraft — 在云端运行，无需安装 · 不需要密钥
• GoodWatch — 在云端运行，无需安装 · 不需要密钥

作者的 README

仓库中没有找到 README