App review

MyFitnessPal GLP-1 mode — review

MyFitnessPal added a GLP-1 mode in 2025. The app retains the largest food database in the consumer market and is a defensible pick for patients already familiar with MFP, but the GLP-1 mode is a skin on regular MFP rather than a ground-up redesign, and recent paywall changes have weakened the free tier.

At a glance

Best for
Patients already familiar with MFP who want the largest possible food database and are willing to pay for Premium
Pricing
Free tier (limited; barcode behind paywall); Premium currently approximately $99.99/yr or $19.99/mo
GLP-1-specific mode
Yes — built-in GLP-1 workflow
Protein-tracking score
7.0 / 10 — editorial assessment of fit for GLP-1 muscle-preservation tracking

Pros

  • Largest food database in the consumer market — almost any food can be found
  • GLP-1 mode adds smaller-meal logging context and a basic dose-day field
  • Strong barcode scanner (in Premium)
  • Wide community familiarity — most patients have used MFP at some point

Cons

  • GLP-1 mode is essentially a skin on regular MFP — not a ground-up workflow redesign
  • Database includes large numbers of user-submitted entries with variable quality; finding the right entry adds friction
  • Several core features (barcode scanner, exercise calorie integration, recipe importer) now require Premium
  • Photo logging is rudimentary compared with PlateLens
  • Defaults are calorie-deficit-focused in ways that can feel inappropriate when the patient is already eating substantially less due to the medication

MyFitnessPal launched a GLP-1 mode in 2025. The mode adds a smaller-meal logging context, a basic dose-day field, and a recalibrated calorie-target view to the existing MFP workflow. It is a defensible pick for patients already familiar with MFP and willing to live with the paywall and the database-quality variance, but it is not the editorial pick on any of the four scoring axes for GLP-1 use.

What the GLP-1 mode actually adds

The GLP-1 mode in MyFitnessPal modifies the standard tracking workflow in three specific ways:

The substance of the GLP-1 mode is real but limited. It is best understood as a skin on regular MFP rather than a workflow redesign in the way MyNetDiary GLP-1 is.

Database size, database quality

MyFitnessPal’s food database is the largest in the consumer market. For a GLP-1 patient who is logging unfamiliar foods (a small bite of something at someone else’s house, a partial restaurant meal), database breadth reduces the chance of giving up because the food is not findable. The tradeoff is that MFP’s database includes a very large number of user-submitted entries of variable quality, including duplicates, mislabelled entries, and entries with implausible macronutrient ratios. Finding the right entry adds friction; getting an unreviewed wrong entry adds error. Patients should be aware of both effects.

A 2026 head-to-head consumer-app validation reported MyFitnessPal among the higher-error apps in the comparison; the database-quality variance is a substantial part of why. (See the comparison piece on this site for the head-to-head detail.)

Paywall changes

Several features that were free in earlier versions of MFP — including the barcode scanner — now require Premium, which has driven the effective cost of meaningful MFP use upward. Patients should expect to pay for Premium ($99.99/yr or $19.99/mo at the time of this review) to use MFP at the level most GLP-1 patients need.

Photo logging

MFP’s photo logging is rudimentary compared with PlateLens. Patients who want a photo-first workflow will be better served by PlateLens or, for those willing to accept lower accuracy, Cal AI.

When to pick MyFitnessPal GLP-1

The clearest case for MFP GLP-1 over alternatives is when the patient is already a heavy MFP user with months or years of historical data they do not want to abandon, and is willing to pay for Premium. For a patient starting from zero, MyNetDiary GLP-1 (for the built-in GLP-1 workflow) or PlateLens (for photo-first speed plus accuracy) typically score higher on the GLP-1-fit axes.

References

  1. Weiss A, Ramirez J, Patel S, et al. Head-to-head validation of six consumer calorie- and macro-tracking applications against weighed-food reference standards. Dietary Assessment Initiative Working Papers. 2026.
  2. Tay J, Brinkworth GD, Thompson CH, et al. Comparative effectiveness of dietitian-supported app-based nutritional intervention versus standard care in adults with type 2 diabetes initiating GLP-1 therapy. Diabetes Care. 2025;48(7):1422-1431.
  3. American Diabetes Association. Standards of Care in Diabetes — 2025: Section 5, Facilitating positive health behaviors and well-being. Diabetes Care. 2025;48(Suppl 1):S77-S110.
Medically reviewed by Jonathan Park, MD, FACE on .

GLP-1 Nutrition does not accept payment, affiliate revenue, or sponsorship from any app developer. App reviews are funded by editorial budget only. Editorial policy: /about/editorial-policy/.