whatevr
by FastDrop
Log meals and read calories and macros from any AI assistant. Pairs with the whatevr iPhone app.
Log meals and read calories and macros from any AI assistant. Pairs with the whatevr iPhone app. Official MCP Registry: app.trywhatevr/whatevr@1.0.2. Remote endpoint: https://api.trywhatevr.app/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as app.trywhatevr/whatevr and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
Claim this listingTools this endpoint exposes
Read directly from the endpoint on 25 Oct 2026. Not supplied by the maker.
log_anythingLog 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',
log_exerciseLog structured exercise with a known calorie burn. For an ESTIMATED burn from plain text, use log_anything ('30 minute run').
log_weightLog a weigh-in in pounds. The newest reading also becomes the user's current weight (drives their calorie targets).
log_waterLog water — glasses (8 fl oz each) or an exact amount_fl_oz. Defaults to 1 glass.
get_todayToday'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` it
get_dayEverything 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
get_progressDaily calorie/macro/exercise TOTALS over time + the weight trend (no food item names — use get_day for what was actually eaten).
get_meWho the user is: name/handle/email, health profile, calorie/macro targets, and derived metrics.
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