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whatevr — AI calorie tracker MCP server

Which MCP servers are whatevr — AI calorie tracker's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-29

← Back to whatevr — AI calorie tracker

Whose server it is
  • Registry nameapp.trywhatevr/whatevrverified in the MCP registry

The registry name sits under trywhatevr.app. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-29
  • Stateanswerschecked 2026-10-29
  • Tools12
  • Server calls itselfwhatevr
  • Server version1.0.0
  • Protocol version2025-06-18

On 2026-10-29 the server answered initialize and tools/list without a sign-in. First answer in 321 ms.

Should an agent connect itNot proven either way yet
  • Its tools do log a meal by speaking it to the phone; have an AI agent record meals over MCP, but not scan a barcode to log packaged food.
  • Checked on 5 of the 7 days it takes to judge reliability.

Once connected

  • For "log a meal by speaking it to the phone", the likely first call is log_anything.
  • For "have an AI agent record meals over MCP", the likely first call is log_anything.
  • update_goals, update_reminders, delete_log, update_log change data without a sign-in: anyone with the address can call them.
  • Parameters are untyped or undescribed in 6 of 12 tools: check arguments before calling.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 5, the first on 2026-10-29
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 5 so far
  • What an agent can do with it2 of 3 use cases
  • Answeredmeasuring5 of the 7 daily checks it takes to print a share
  • Median first answer332 ms
  • Space in an agent's context≈ 2,781 tokensthe definitions of all its tools (12), which an agent carries on every turn
  • Tool definitionsA · 92 of 100
  • Typed results0 of 12 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 6 of 12

What an agent can do with it

  • can do · log a meal by speaking it to the phone
  • cannot · scan a barcode to log packaged food
  • can do · have an AI agent record meals over MCP

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

  • Tools that change data, on a server that answers without a sign-in: update_goals, update_reminders, delete_log, update_log

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers12 tools · read 2026-10-29
  • log_anything

    Log food, drinks, water, exercise, or a weigh-in from one natural-language sentence — the same parser as the app's voice logging. Examples: 'two eggs and toast', '30 minute run', '3 glasses of water', 'weighed 184 this morning'. Spoken…

  • log_exercise

    Log structured exercise with a known calorie burn. For an ESTIMATED burn from plain text, use log_anything ('30 minute run').

  • log_weight

    Log a weigh-in in pounds. The newest reading also becomes the user's current weight (drives their calorie targets).

  • log_water

    Log water — glasses (8 fl oz each) or an exact amount_fl_oz. Defaults to 1 glass.

  • get_today

    Today's complete picture: calorie/macro totals vs targets, water, streak, exercises, and the item-by-item food log (`recent`: every logged item's name, calories, macros, ingredients). Each `recent` item's `id` works with update_log to…

  • get_day

    Everything logged on a specific day, INCLUDING each food item's name and nutrition (same shape as get_today). Use this to answer “what did I eat yesterday / on <date>”. Each `recent` item's `id` works with update_log to correct mistakes.

  • get_progress

    Daily calorie/macro/exercise TOTALS over time + the weight trend (no food item names — use get_day for what was actually eaten).

  • get_me

    Who the user is: name/handle/email, health profile, calorie/macro targets, and derived metrics.

  • update_goals

    Change the user's goal and daily targets — the same settings as the app's Goals screen. Send ONLY the fields to change. Each target takes a number (a custom target) or "auto" (computed from their body, activity and goal). The server keeps…

  • update_reminders

    Turn the user's daily reminders on or off: the evening 'nothing logged today' nudge and the streak reminder. Same as the app's Notifications screen. Needs the user's "Change goals & settings" switch for this connection. The user is…

  • delete_log

    Delete ONE entry from the user's log: a food, exercise, weigh-in or water entry. Read get_today/get_day first — each item in `recent` carries its `id` and `type`; pass both. Deleting a weigh-in updates their current weight to the newest…

  • update_log

    Correct an existing FOOD log: title, nutrition numbers, the ingredient list, meal, or time-of-day. Read get_today/get_day first — each item in `recent` (type "food") carries the `id` to pass here. Send ONLY the fields to change; values…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "whatevr": {
      "type": "http",
      "url": "https://api.trywhatevr.app/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http trywhatevr https://api.trywhatevr.app/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://api.trywhatevr.app/mcp as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.