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📊 Intel view 📋 Audit JSON 🔄 Changelog
92
A2A live JSON-RPC v2.7.1

anatome

platform.anatome.dev

MCP server (HTTP) for fitness and nutrition agents: exercise search, muscle-diagram SVG, food and barcode lookup, per-user workout/meal/cardio/body logging, AI meal and workout planning, and progression analytics (PRs, volume, training load, recovery). Mint a free key at POST /v1/demo/key; paste into Cursor, Claude, ChatGPT or any MCP client.

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Verify the domain platform.anatome.dev via a single DNS TXT record to add the verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
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Trust score
60/100
grade C · 9 criteria
Uptime
100.0%
14 direct probes · 30d
~66 ms response
Observed inflow · 30d
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
changed
4 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

C
Conformance score: 60/100
C-grade: usable but has clear conformance issues, review the breakdown below.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
pass Live JSON-RPC 25/25
Endpoint responds to a negotiated A2A SendMessage probe (answers in ~66 ms).
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
pass Uptime track record 15/15
14/14 probes succeeded (100% uptime).
partial Skill declaration 6/10
Declares 1 skill, usable but thin.
How to earn +4 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags`. We canonicalise these into the global skill taxonomy on next probe.
Docs →
fail Verified Identity 0/10
No provider organisation declared. Anonymous agent.
How to earn +10 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.
⚠ Card drift detected. This agent's agent-card.json changed within the last 7 days. We track these so downstream callers can react.

Activity (audit trail)

last 24h · 0 invocations Public aggregate · no PII recorded

Nothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.

Card history

4 snapshots drifted 3× Every change to agent-card.json
Captured Hash
2026-08-16 21:05:08 current f11a38d61203… view →
2026-08-14 12:51:40 ca37c6c8fd77… view →
2026-08-13 20:48:57 5bd4d65568c3… view →
2026-08-12 20:34:10 33271ae00d15… view →
Uptime
100.0%
14 direct probes · 30d
Response
50ms
last direct probe
Skills
0
declared
Streaming
SSE-capable

Try it

Send a message to this agent live. Your prompt is proxied through Agenstry.

calling agent…

Endpoints

Agent cardhttps://platform.anatome.dev/.well-known/mcp.json
Discovered via
manifests

Skills · 1 declared · mapped to canonical taxonomy

anatome

MCP server (HTTP) for fitness and nutrition agents: exercise search, muscle-diagram SVG, food and barcode lookup, per-user workout/meal/cardio/body logging, AI …

canonical UCP Catalog Exposure match 82%

Health · last 14 probes

When HTTP Live JSON-RPC Latency
2026-08-19 11:15:28 200 50ms
2026-08-18 20:31:42 200 32ms
2026-08-18 09:42:52 200 66ms
2026-08-18 02:16:17 200 42ms
2026-08-17 07:59:49 200 41ms
2026-08-16 21:05:08 200 56ms
2026-08-16 09:13:43 200 39ms
2026-08-16 03:12:22 200 39ms
2026-08-15 09:05:36 200 37ms
2026-08-15 02:45:00 200 46ms

Cheaper or better alternatives per-skill

↑ 1 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

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Agenstry grade Uptime
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/platform.anatome.dev.svg)](https://agenstry.com/agents/platform.anatome.dev)
[![Verified Business](https://agenstry.com/badge/platform.anatome.dev/identity.svg)](https://agenstry.com/agents/platform.anatome.dev)
[![Uptime](https://agenstry.com/badge/platform.anatome.dev/uptime.svg)](https://agenstry.com/agents/platform.anatome.dev)
[![A2A version](https://agenstry.com/badge/platform.anatome.dev/protocol.svg)](https://agenstry.com/agents/platform.anatome.dev)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON
{
  "name": "anatome",
  "version": "2.7.1",
  "description": "MCP server (HTTP) for fitness and nutrition agents: exercise search, muscle-diagram SVG, food and barcode lookup, per-user workout/meal/cardio/body logging, AI meal and workout planning, and progression analytics (PRs, volume, training load, recovery). Mint a free key at POST /v1/demo/key; paste into Cursor, Claude, ChatGPT or any MCP client.",
  "keywords": [
    "MCP",
    "Model Context Protocol",
    "fitness",
    "nutrition",
    "exercise",
    "workout",
    "meal logging",
    "muscle diagram",
    "barcode",
    "progression",
    "AI coaching",
    "Cursor",
    "Claude",
    "ChatGPT",
    "agents",
    "food catalog API",
    "nutrition API",
    "food database API",
    "barcode lookup API",
    "calorie tracking API",
    "macro tracking",
    "Open Food Facts",
    "USDA FoodData Central",
    "recipe nutrition",
    "cardio API",
    "running",
    "cycling",
    "endurance training",
    "GPX import",
    "training load",
    "workout analysis"
  ],
  "transport": "http",
  "url": "https://platform.anatome.dev/v1/mcp",
  "protocol_version": "2025-06-18",
  "authentication": {
    "type": "bearer",
    "description": "Authorization: Bearer anp_... plus X-App-User-Id for per-user tools. Mint free at POST /v1/demo/key. Stateless reference tools work with no key at all (100 req/day/IP).",
    "token_endpoint": "https://platform.anatome.dev/v1/demo/key"
  },
  "capabilities": {
    "tools": true,
    "prompts": true,
    "resources": true
  },
  "categories": [
    "health-and-fitness",
    "productivity",
    "data-and-analytics"
  ],
  "tool_count": 36,
  "tools": [
    "search_exercises",
    "get_exercise",
    "resolve_exercise",
    "list_muscles",
    "generate_muscle_image",
    "list_routines",
    "get_routine",
    "instantiate_routine",
    "search_foods",
    "lookup_barcode",
    "log_workout",
    "get_workouts",
    "log_meal",
    "get_meals",
    "log_water",
    "log_body_metric",
    "get_body_metrics",
    "upsert_profile",
    "get_profile",
    "log_cardio",
    "get_cardio_activities",
    "ai_parse_meal",
    "ai_photo_macros",
    "ai_meal_plan",
    "ai_workout_plan",
    "get_muscle_recovery",
    "get_nutrition_daily",
    "get_water",
    "update_meal",
    "delete_meal",
    "update_sets",
    "delete_workout",
    "export_data",
    "get_events",
    "my_training_context",
    "get_progress"
  ],
  "all_tool_count": 65,
  "prompt_count": 8,
  "prompts": [
    {
      "name": "log_my_day",
      "title": "Log my day",
      "description": "Record everything you ate, drank and trained today in one pass."
    },
    {
      "name": "what_should_i_train_today",
      "title": "What should I train today?",
      "description": "Pick today's session from your actual recovery state and recent training load."
    },
    {
      "name": "review_my_week",
      "title": "Review my week",
      "description": "An honest read on the last 7 days: training, nutrition, weight, adherence."
    },
    {
      "name": "plan_my_week",
      "title": "Plan my week",
      "description": "Build next week's training from a curated routine and your current load."
    },
    {
      "name": "import_my_history",
      "title": "Import my history from another app",
      "description": "Bring meal history over from MyFitnessPal, Cronometer, Lose It! or MacroFactor."
    },
    {
      "name": "check_my_progress",
      "title": "Check my progress on a lift",
      "description": "Personal records, estimated 1RM trend, and whether the last block moved the needle."
    },
    {
      "name": "am_i_eating_enough_protein",
      "title": "Am I eating enough?",
      "description": "Compare intake against targets, including the nutrients most trackers ignore."
    },
    {
      "name": "export_my_data",
      "title": "Export my data",
      "description": "Get a complete copy of everything anatome stores about you."
    }
  ],
  "resource_count": 8,
  "resources": [
    {
      "uri": "ui://widget/meal-breakdown",
      "name": "meal-breakdown",
      "title": "Meal breakdown",
      "mimeType": "text/html+skybridge"
    },
    {
      "uri": "ui://widget/daily-nutrition",
      "name": "daily-nutrition",
      "title": "Daily nutrition",
      "mimeType": "text/html+skybridge"
    },
    {
      "uri": "ui://widget/muscle-recovery",
      "name": "muscle-recovery",
      "title": "Muscle recovery",
      "mimeType": "text/html+skybridge"
    },
    {
      "uri": "anatome://openapi",
      "name": "openapi",
      "title": "OpenAPI 3.1 specification",
      "mimeType": "application/json"
    },
    {
      "uri": "anatome://llms.txt",
      "name": "llms-txt",
      "title": "Connect recipe for AI agents",
      "mimeType": "text/plain"
    },
    {
      "uri": "anatome://tools",
      "name": "tool-catalog",
      "title": "Full tool catalog",
      "mimeType": "application/json"
    },
    {
      "uri": "anatome://muscles",
      "name": "muscle-catalog",
      "title": "Muscle slug catalog",
      "mimeType": "application/json"
    },
    {
      "uri": "anatome://write-policy",
      "name": "write-policy",
      "title": "Write field policy and units",
      "mimeType": "text/markdown"
    }
  ],
  "example_prompts": [
    "Log my breakfast: three eggs, two slices of rye toast and a flat white.",
    "I benched 80 kg for 5, 5 and 3 today \u2014 log it and tell me whether that beats my last session.",
    "What should I train today? Check what's actually recovered first.",
    "Scan barcode 5900951024504 and log it as lunch.",
    "Show me a muscle diagram of everything I trained this week.",
    "How is my protein tracking against my target over the last 14 days?",
    "Export everything you hold on me."
  ],
  "icons": [
    {
      "src": "https://anatome.dev/apple-touch-icon.png",
      "mimeType": "image/png",
      "sizes": "180x180"
    },
    {
      "src": "https://anatome.dev/favicon.svg",
      "mimeType": "image/svg+xml",
      "sizes": "any"
    },
    {
      "src": "https://anatome.dev/og.png",
      "mimeType": "image/png",
      "sizes": "1200x630"
    }
  ],
  "documentation": "https://anatome.dev/help",
  "llms_txt": "https://anatome.dev/llms.txt",
  "homepage": "https://anatome.dev",
  "privacy_policy_url": "https://anatome.dev/privacy",
  "terms_of_service_url": "https://anatome.dev/terms",
  "catalogue_version": "2.7.1"
}