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whatevr

REMOTE · API.TRYWHATEVR.APP

Log meals and read calories and macros from any AI assistant. Pairs with the whatevr iPhone app.

+3 this week 67 Trust /100

Last scanned (3 hours ago)

Scores higher than 53% of remote servers

Reachable. Last reached 5 Nov 2026.

Category Health and Science

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security63
Transport & Reachability100
Schema Quality & AI Usability63
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 2195 tokens (~182/item across 12 items; 12 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management37
  • Stability observed for 11 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage85
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 54% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 29 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Oct 26 +1
    • The server rewrote its instructions, which are the text every model session reads security
    • New tool “delete_log”, which the server declares destructive security
    • New tool “update_goals”, which the server declares destructive security
    • Schema quality: 1561 → 2195 ▼ functional
    • Destructive annotations: pass → 100 functional
    • New tool “update_reminders” functional
  • 26 Oct 26 0
    • Stability: unverified → 0.03 ▲ functional
  • 25 Oct 26 62

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://api.trywhatevr.app/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=api.trywhatevr.app CN=YR2,O=Let's Encrypt,C=US 13 Sept 2026 12 Dec 2026 RSA 2048 SHA256-RSA 52eea904f87187887af7c43e939aa30a521
SANs: api.trywhatevr.app
CN=YR2,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA 4ebd24947e24d394802d84a52fd5b319
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of api.trywhatevr.app. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
app. present 23684 8 Verified
trywhatevr.app. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=63072000

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.trywhatevr.app/mcp Verified 200
http (plaintext) http://api.trywhatevr.app/mcp HTTPS enforced 308 https://api.trywhatevr.app/mcp
MCP tools · 12 exposed · ~1,954 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
delete_log ~140

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 remaining one. This can't be undone, so confirm with the user first. Needs the user's "Delete entries" switch for this connection (whatevr app → Settings → Connections). The user is notified.

NameTypeReqDescription
log_idstringyesThe item's `id` from get_today/get_day `recent`.
typestringyesThe item's `type` from `recent`.

No output schema declared.

No examples provided.

get_day ~71

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.

NameTypeReqDescription
datestringyesYYYY-MM-DD

No output schema declared.

No examples provided.

get_me ~30

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

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_progress ~129

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

NameTypeReqDescription
anchorstring–Window end date (default: the user's today)
daysnumber–1–730, or 0 for all-time (default 30)
tz_offset_minnumber–The user's JS getTimezoneOffset() — minutes BEHIND UTC (e.g. 240 for EDT). Optional: when omitted, the user's app-reported timezone is used (UTC only if the account has never reported one).

No output schema declared.

No examples provided.

get_today ~116

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 correct mistakes.

NameTypeReqDescription
tz_offset_minnumber–The user's JS getTimezoneOffset() — minutes BEHIND UTC (e.g. 240 for EDT). Optional: when omitted, the user's app-reported timezone is used (UTC only if the account has never reported one).

No output schema declared.

No examples provided.

log_anything ~238

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 dates like 'yesterday I had pizza' work. Describe the FOOD, not just numbers: stating explicit nutrition in the text ('burrito, 800 calories') pins those totals exactly but logs ONE pre-computed item with no ingredient breakdown — if you do that, follow up with update_log's `ingredients` array so the log keeps its per-item detail.

NameTypeReqDescription
logged_atstring–Bare-local timestamp YYYY-MM-DDThh:mm:ss (no zone). Omit to use the user's 'now'.
textstringyesWhat to log, in plain words.
tz_offset_minnumber–The user's JS getTimezoneOffset() — minutes BEHIND UTC (e.g. 240 for EDT). Optional: when omitted, the user's app-reported timezone is used (UTC only if the account has never reported one).

No output schema declared.

No examples provided.

log_exercise ~151

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

NameTypeReqDescription
activitystringyese.g. 'running'
calories_burnednumberyes–
duration_minutesnumberyes–
logged_atstring–Bare-local timestamp YYYY-MM-DDThh:mm:ss (no zone). Omit to use the user's 'now'.
tz_offset_minnumber–The user's JS getTimezoneOffset() — minutes BEHIND UTC (e.g. 240 for EDT). Optional: when omitted, the user's app-reported timezone is used (UTC only if the account has never reported one).

No output schema declared.

No examples provided.

log_water ~147

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

NameTypeReqDescription
amount_fl_oznumber––
glassesnumber–8 fl oz each; used when amount_fl_oz is absent
logged_atstring–Bare-local timestamp YYYY-MM-DDThh:mm:ss (no zone). Omit to use the user's 'now'.
tz_offset_minnumber–The user's JS getTimezoneOffset() — minutes BEHIND UTC (e.g. 240 for EDT). Optional: when omitted, the user's app-reported timezone is used (UTC only if the account has never reported one).

No output schema declared.

No examples provided.

log_weight ~130

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

NameTypeReqDescription
logged_atstring–Bare-local timestamp YYYY-MM-DDThh:mm:ss (no zone). Omit to use the user's 'now'.
notestring––
tz_offset_minnumber–The user's JS getTimezoneOffset() — minutes BEHIND UTC (e.g. 240 for EDT). Optional: when omitted, the user's app-reported timezone is used (UTC only if the account has never reported one).
weight_lbnumberyes–

No output schema declared.

No examples provided.

update_goals ~302

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 calories and macros consistent (protein×4 + carbs×4 + fat×9 ≈ calories), so the targets it returns can differ slightly from what you sent — report the returned ones. Current weight is not here: log a weigh-in with log_weight. Needs the user's "Change goals & settings" switch for this connection (whatevr app → Settings → Connections); if it's off you'll get a message saying so — relay it. The user is notified of every change.

NameTypeReqDescription
activity_levelstring––
calorie_target––1000–5000, or "auto".
carbs_target_g––20–600, or "auto".
fat_target_g––10–250, or "auto".
fiber_minimum_gnumber––
goalstring––
goal_weight_lbnumber––
protein_target_g––20–400, or "auto".
rate_lb_per_weeknumber–Pace for lose/gain (ignored for maintain).
sodium_maximum_mgnumber––
sugar_maximum_gnumber––
water_goal_glassesnumber––

No output schema declared.

No examples provided.

update_log ~390

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 are absolute for the item as logged. Two modes, never mixed: send `ingredients` to REPLACE the whole list (include every ingredient you want kept — the log's totals recompute from it, so don't also send calories/macros), OR send top-level numbers to set totals directly — the existing ingredient breakdown then RESCALES proportionally so the parts always sum to the new totals (ingredient names/amounts don't change, so when the COMPOSITION changed — something added or removed — send `ingredients` instead). Note: ANY edit that changes a routine-created log's title or its calories — including an ingredients replacement, since totals recompute — also updates that saved routine. When logged_time changes, the log's meal may re-infer from the new hour unless you set meal explicitly. Requires a full-access token; edit one log at a time.

NameTypeReqDescription
caloriesnumber––
carbs_gnumber––
fat_gnumber––
fiber_gnumber––
ingredientsarray–REPLACES the full ingredient list; totals recompute from it. Cannot be combined with top-level numeric fields.
log_idstringyesThe item's `id` from get_today/get_day `recent` (type "food" only).
logged_timestring–HH:MM 24h — time-of-day only; the log's DATE never changes.
mealstring––
protein_gnumber––
sodium_mgnumber––
sugar_gnumber––
titlestring––

No output schema declared.

No examples provided.

update_reminders ~110

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 notified of the change.

NameTypeReqDescription
log_reminderboolean––
streak_reminderboolean––
tz_offset_minnumber–The user's JS getTimezoneOffset(). Only used if the app has never reported their timezone; then it's required.

No output schema declared.

No examples provided.

Install

How do I install the whatevr MCP server?

whatevr is a hosted endpoint at https://api.trywhatevr.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · api.trywhatevr.app

# add to Claude Code
claude mcp add --transport http app-trywhatevr-whatevr 'https://api.trywhatevr.app/mcp'
Common questions

What is the whatevr MCP server?

whatevr is an MCP server listed in the public MCP registry as app.trywhatevr/whatevr. Log meals and read calories and macros from any AI assistant. Pairs with the whatevr iPhone app. This page covers its hosted endpoint (https://api.trywhatevr.app/mcp).

Is the whatevr MCP server safe to use?

whatevr scores 67 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the whatevr MCP server expose?

whatevr exposes 12 tools: log_anything, log_exercise, log_weight, log_water, get_today, and 7 more. Their descriptions and schemas cost roughly 1,954 tokens of context every time the server is loaded.

Does the whatevr MCP server require authentication?

No. We connected to whatevr without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the whatevr MCP server still maintained?

whatevr is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.