MyFitnessPal MCP server Let your AI agent keep your food diary.

Tell your agent what you ate and it finds the foods and logs them to the right meal in MyFitnessPal. It also logs water, weight and exercise and reads your diary and goals back. It works inside Claude and ChatGPT, with no developer setup.

  • Free 7-day trial, no card
  • Unofficial, not affiliated with MyFitnessPal
MyFitnessPal logo MyFitnessPal Cloud Browser

15 tools Read and write

Diary to weigh-ins

What can your AI agent do in MyFitnessPal? Food, body and goals in one chat.

  • Log meals you describe

  • Log a saved meal to today

  • Quick add a calorie amount

  • Log weight, water and workouts

  • Sum a day for a sheet

  • Check calories against your goals

Official ChatGPT app

Does MyFitnessPal have an MCP server or an API? A ChatGPT app for questions, and a closed API.

MyFitnessPal's API site says "We are not accepting requests for API access at this time" (checked 6 Nov 2026). Its own app in ChatGPT, live since 7 Jan 2026, answers nutrition questions, and the launch post says logging meals there is not available. We found no MyFitnessPal connector for Claude. Cotlet runs 15 MyFitnessPal tools hosted, over MCP for agents and REST for scripts, in your own login with no API key from MyFitnessPal.

  • In ChatGPT you write @myfitnesspal before a nutrition question and get recipes, calorie targets and macro splits from its database of 20 million foods and 2,000 recipes.
  • Zapier has no MyFitnessPal app, and n8n lists none. One n8n community node asks for API credentials from the MyFitnessPal API portal.
  • Free GitHub servers exist, for example Mason-Levyy/myfitnesspal-mcp (30 stars, MIT, pushed 6 Nov 2026). You install and run them on your own computer.
MyFitnessPal in ChatGPT, a GitHub MCP server and Cotlet compared
What you need MyFitnessPal in ChatGPTGitHub MCP serverCotlet
Search foods and read their nutrition Yes Yes Yes
Log a meal to your diary Not in the launch post Yes Yes
Read your diary and goals No account link at launch Yes Yes
Works in Claude ChatGPT only Yes, you run it Yes, hosted
Nothing to install or host Yes No Yes

Checked 6 Nov 2026. Sources: MyFitnessPal API site · MyFitnessPal blog: MyFitnessPal + ChatGPT · GitHub: Mason-Levyy/myfitnesspal-mcp · npm: n8n MyFitnessPal community node

Set up once

How does the MyFitnessPal MCP server work? One account, set up once.

  1. 1Sign in to MyFitnessPal

    Use your own account in its Cotlet Cloud Browser.

  2. 2Connect your AI agent

    Add the Cotlet address to Claude or ChatGPT.

  3. 3Ask in plain words

    Say what you ate or what you want to know.

We never keep your MyFitnessPal password, and no tool touches your payment, password or account. Who can see your session

Any MCP client

How to connect MyFitnessPal to your AI agent

Pick your client in the tabs. The steps are the same everywhere.

  1. 1

    Turn MyFitnessPal on for agents. Create a Cotlet account, log in to MyFitnessPal in its Cloud Browser, then press Enable for agents.

  2. 2

    Add the Cotlet address. Put https://cotlet.dev/mcp/v1 in the MCP or connector settings of your agent.

  3. 3

    Sign in or use a key. Claude and ChatGPT ask you to sign in to Cotlet. Cursor, Codex, n8n and scripts take an API key from the console.

One shared address, https://cotlet.dev/mcp/v1, carries MyFitnessPal next to your other apps. If you enable MyFitnessPal after connecting, refresh the connector so the new tools show up.

Claude
Settings > Connectors > Add custom connector
URL: https://cotlet.dev/mcp/v1/connect

Claude Code:
claude mcp add --transport http cotlet-myfitnesspal \
  https://cotlet.dev/mcp/v1 \
  --header "Authorization: Bearer $COTLET_API_KEY"
ChatGPT
Settings > Apps & Connectors > Create
MCP server URL: https://cotlet.dev/mcp/v1/connect
Authentication: OAuth
Cursor
// ~/.cursor/mcp.json
{
  "mcpServers": {
    "cotlet-myfitnesspal": {
      "url": "https://cotlet.dev/mcp/v1",
      "headers": { "Authorization": "Bearer ${env:COTLET_API_KEY}" }
    }
  }
}
Codex
# ~/.codex/config.toml
[mcp_servers.cotlet-myfitnesspal]
url = "https://cotlet.dev/mcp/v1"
bearer_token_env_var = "COTLET_API_KEY"
n8n
MCP Client Tool (inside an AI Agent)
Transport: HTTP Streamable
URL: https://cotlet.dev/mcp/v1
Auth: Bearer, <your key>
Tool: myfitnesspal_read
Make, Zapier
Make: MCP Client > Call a tool
Zapier: MCP Client by Zapier > Run Tool
Server URL: https://cotlet.dev/mcp/v1
Token: <your key>
Tool: myfitnesspal_write
8 read, 7 write

All 15 MyFitnessPal MCP tools

Food diary and foods8

Quick Add takes calories only on the free plan; protein, carbs and fat need Premium (MyFitnessPal Help, 6 Nov 2026). Logging a food needs the food_id from a search.

  • get_diary_day Returns one day of the food diary: each meal with its foods and the day's totals. read

    Returns the meals of that day. Each food has an entry_id, a name, a serving and its calories and macros. The totals are the ones MyFitnessPal shows for the day. A day with nothing logged returns empty meals.

    MCP callmyfitnesspal_read → get_diary_day

    REST endpointGET https://cotlet.dev/api/v1/myfitnesspal/diary-day

    Parameters

    Parameters: get_diary_day
    NameTypeDescription
    date string string Diary day as YYYY-MM-DD. Defaults to today in your account time zone.

    Example response

    {
      "date": "2026-11-04",
      "meals": [
        {
          "meal": "Breakfast",
          "entries": [
            {
              "entry_id": "e_1042",
              "food": "Egg, whole, large",
              "serving": "2 large",
              "calories": 143,
              "protein_g": 12.6,
              "carbs_g": 0.7,
              "fat_g": 9.5
            },
            {
              "entry_id": "e_1043",
              "food": "Whole wheat bread",
              "serving": "1 slice",
              "calories": 81,
              "protein_g": 4,
              "carbs_g": 13.8,
              "fat_g": 1.1
            }
          ]
        },
        {
          "meal": "Lunch",
          "entries": [
            {
              "entry_id": "e_1051",
              "food": "Chicken salad",
              "serving": "1 bowl",
              "calories": 320,
              "protein_g": 28,
              "carbs_g": 12,
              "fat_g": 17
            }
          ]
        }
      ],
      "totals": {
        "calories": 544,
        "protein_g": 44.6,
        "carbs_g": 26.5,
        "fat_g": 27.6
      }
    }
  • search_foods Searches the MyFitnessPal food database by name or brand. read

    Returns matching foods. Each result has a food_id, a name, a brand when the food has one, and its default serving with calories. Pass food_id to get_food for the full nutrition and the other servings.

    MCP callmyfitnesspal_read → search_foods

    REST endpointGET https://cotlet.dev/api/v1/myfitnesspal/foods/search

    Parameters

    Parameters: search_foods
    NameTypeDescription
    query string required string Food name or brand, for example "greek yogurt".
    cursor string string Next page cursor from the previous call.

    Example input

    {
      "query": "query"
    }

    Example response

    {
      "foods": [
        {
          "food_id": "f_88120",
          "name": "Greek Yogurt, Plain, Nonfat",
          "brand": "Example Dairy",
          "serving": "170 g",
          "calories": 100
        },
        {
          "food_id": "f_88121",
          "name": "Greek Yogurt, Plain",
          "brand": null,
          "serving": "1 cup",
          "calories": 130
        }
      ],
      "next_cursor": null
    }
  • get_food Returns the nutrition of one food and the servings MyFitnessPal offers for it. read

    Returns the food's name, brand and every serving the food page lists, each with calories, protein, carbs and fat. Use it before log_food to choose a serving.

    MCP callmyfitnesspal_read → get_food

    REST endpointGET https://cotlet.dev/api/v1/myfitnesspal/foods/{food_id}

    Parameters

    Parameters: get_food
    NameTypeDescription
    food_id string required string Food ID from search_foods.

    Example input

    {
      "food_id": "food_8c41d2"
    }

    Example response

    {
      "food_id": "f_88120",
      "name": "Greek Yogurt, Plain, Nonfat",
      "brand": "Example Dairy",
      "servings": [
        {
          "serving": "170 g",
          "calories": 100,
          "protein_g": 17,
          "carbs_g": 6,
          "fat_g": 0
        },
        {
          "serving": "100 g",
          "calories": 59,
          "protein_g": 10,
          "carbs_g": 3.5,
          "fat_g": 0
        }
      ]
    }
  • list_saved_meals Lists the meals you saved under My Meals. read

    Returns each saved meal with its meal_id, name and total calories. Saved meals belong to your account. Pass meal_id to log_saved_meal.

    MCP callmyfitnesspal_read → list_saved_meals

    REST endpointGET https://cotlet.dev/api/v1/myfitnesspal/saved-meals

    Parameters

    No parameters.

    Example response

    {
      "saved_meals": [
        {
          "meal_id": "m_301",
          "name": "Weekday lunch",
          "calories": 540
        },
        {
          "meal_id": "m_302",
          "name": "Post-workout shake",
          "calories": 280
        }
      ]
    }
  • log_food Adds one food to a meal in your diary. write

    Adds the food to the meal and day you name and returns the new entry_id with its calories. It reaches no one, and delete_diary_entry undoes it in one call, so it does not wait for your OK. A serving that the food does not offer fails and the error lists the servings it has.

    MCP callmyfitnesspal_write → log_food

    REST endpointPOST https://cotlet.dev/api/v1/myfitnesspal/foods/{food_id}

    Parameters

    Parameters: log_food
    NameTypeDescription
    food_id string required string Food ID from search_foods.
    meal string required string Meal name as your diary shows it, for example Breakfast, Lunch, Dinner or Snacks.
    serving string string Serving from get_food, for example "170 g". Defaults to the food's default serving.
    quantity number number Number of servings. Defaults to 1.
    date string string Diary day as YYYY-MM-DD. Defaults to today in your account time zone.

    Example input

    {
      "food_id": "f_88120",
      "meal": "Snacks",
      "serving": "170 g",
      "quantity": 1,
      "date": "2026-11-04"
    }

    Example response

    {
      "entry_id": "e_1060",
      "meal": "Snacks",
      "food": "Greek Yogurt, Plain, Nonfat",
      "serving": "170 g",
      "quantity": 1,
      "calories": 100,
      "date": "2026-11-04"
    }
  • log_saved_meal Adds a meal from My Meals to a meal in your diary. write

    Adds every food of the saved meal to the meal and day you name and returns the new entry IDs and the calories added. It reaches no one, and delete_diary_entry undoes it entry by entry, so it does not wait for your OK.

    MCP callmyfitnesspal_write → log_saved_meal

    REST endpointPOST https://cotlet.dev/api/v1/myfitnesspal/meals/{meal_id}/saved-meals

    Parameters

    Parameters: log_saved_meal
    NameTypeDescription
    meal_id string required string Meal ID from list_saved_meals.
    meal string required string Meal name as your diary shows it, for example Breakfast, Lunch, Dinner or Snacks.
    date string string Diary day as YYYY-MM-DD. Defaults to today in your account time zone.

    Example input

    {
      "meal_id": "meal_8c41d2",
      "meal": "meal"
    }

    Example response

    {
      "entry_ids": [
        "e_1071",
        "e_1072",
        "e_1073"
      ],
      "meal": "Lunch",
      "saved_meal": "Weekday lunch",
      "calories": 540,
      "date": "2026-11-04"
    }
  • quick_add_calories Adds a calorie amount to a meal without choosing a food. write

    Adds a Quick Add entry to the meal and day you name. On the free plan MyFitnessPal takes calories only, and a call with grams fails. It reaches no one, and delete_diary_entry undoes it, so it does not wait for your OK.

    MCP callmyfitnesspal_write → quick_add_calories

    REST endpointPOST https://cotlet.dev/api/v1/myfitnesspal/add-calories/quick

    Parameters

    Parameters: quick_add_calories
    NameTypeDescription
    meal string required string Meal name as your diary shows it, for example Breakfast, Lunch, Dinner or Snacks.
    calories number required number Calories to add.
    protein_g number number Protein in grams. Needs Premium.
    carbs_g number number Carbs in grams. Needs Premium.
    fat_g number number Fat in grams. Needs Premium.
    date string string Diary day as YYYY-MM-DD. Defaults to today in your account time zone.

    Example input

    {
      "meal": "meal",
      "calories": 1
    }

    Example response

    {
      "entry_id": "e_1080",
      "meal": "Dinner",
      "calories": 650,
      "date": "2026-11-04"
    }
  • delete_diary_entry Removes one food or exercise entry from your diary. write

    Removes the entry and returns what was removed, so you can log it again. It touches only your own diary and reaches no one, so it does not wait for your OK.

    MCP callmyfitnesspal_write → delete_diary_entry

    REST endpointDELETE https://cotlet.dev/api/v1/myfitnesspal/entries/{entry_id}/diary-entries

    Parameters

    Parameters: delete_diary_entry
    NameTypeDescription
    entry_id string required string Entry ID from get_diary_day.

    Example input

    {
      "entry_id": "entry_8c41d2"
    }

    Example response

    {
      "entry_id": "e_1060",
      "removed": "Greek Yogurt, Plain, Nonfat",
      "meal": "Snacks",
      "calories": 100,
      "date": "2026-11-04"
    }

Water, weight and exercise6

Weight and water use the unit your account uses. The exercise tool logs cardio by name and minutes, not sets and reps.

  • get_water Returns the water logged for one day. read

    Returns the total water logged for that day in the unit your account uses. A day with no water logged returns 0.

    MCP callmyfitnesspal_read → get_water

    REST endpointGET https://cotlet.dev/api/v1/myfitnesspal/water

    Parameters

    Parameters: get_water
    NameTypeDescription
    date string string Diary day as YYYY-MM-DD. Defaults to today in your account time zone.

    Example response

    {
      "date": "2026-11-04",
      "unit": "ml",
      "total": 1250
    }
  • log_water Adds water to a day. write

    Adds the amount to that day's water and returns the new total. It reaches no one and you can log a correcting amount, so it does not wait for your OK.

    MCP callmyfitnesspal_write → log_water

    REST endpointPOST https://cotlet.dev/api/v1/myfitnesspal/waters

    Parameters

    Parameters: log_water
    NameTypeDescription
    amount number required number Amount to add in the unit your account uses (get_water returns it).
    date string string Diary day as YYYY-MM-DD. Defaults to today in your account time zone.

    Example input

    {
      "amount": 1
    }

    Example response

    {
      "date": "2026-11-04",
      "unit": "ml",
      "added": 500,
      "total": 1750
    }
  • get_weight_entries Returns the weights you logged in a date range. read

    Returns one entry per logged weight with its date and value in the unit your account uses. Days with no weight are left out.

    MCP callmyfitnesspal_read → get_weight_entries

    REST endpointGET https://cotlet.dev/api/v1/myfitnesspal/weight-entries

    Parameters

    Parameters: get_weight_entries
    NameTypeDescription
    from string required string First day as YYYY-MM-DD.
    to string required string Last day as YYYY-MM-DD.

    Example input

    {
      "from": "from",
      "to": "to"
    }

    Example response

    {
      "unit": "kg",
      "entries": [
        {
          "date": "2026-10-29",
          "weight": 79.1
        },
        {
          "date": "2026-11-01",
          "weight": 78.8
        },
        {
          "date": "2026-11-04",
          "weight": 78.4
        }
      ]
    }
  • log_weight Records your weight for a day. write

    Records the weight for that day and returns it with the previous entry. MyFitnessPal uses your current weight in its calorie calculations. It reaches no one and a new call corrects it, so it does not wait for your OK.

    MCP callmyfitnesspal_write → log_weight

    REST endpointPOST https://cotlet.dev/api/v1/myfitnesspal/weights

    Parameters

    Parameters: log_weight
    NameTypeDescription
    weight number required number Weight in the unit your account uses.
    date string string Diary day as YYYY-MM-DD. Defaults to today in your account time zone.

    Example input

    {
      "weight": 1
    }

    Example response

    {
      "date": "2026-11-04",
      "unit": "kg",
      "weight": 78.4,
      "previous": {
        "date": "2026-11-01",
        "weight": 78.8
      }
    }
  • list_exercises Returns the exercise logged for one day, including entries synced from a connected device. read

    Returns each exercise with its entry_id, name, minutes and calories burned where MyFitnessPal gives them. Strength training has sets, reps and weight instead, and MyFitnessPal does not count calories burned for it. Steps are not returned: MyFitnessPal reads them from a connected app or device.

    MCP callmyfitnesspal_read → list_exercises

    REST endpointGET https://cotlet.dev/api/v1/myfitnesspal/exercises

    Parameters

    Parameters: list_exercises
    NameTypeDescription
    date string string Diary day as YYYY-MM-DD. Defaults to today in your account time zone.

    Example response

    {
      "date": "2026-11-03",
      "exercises": [
        {
          "entry_id": "x_204",
          "name": "Running",
          "minutes": 40,
          "calories_burned": 410
        },
        {
          "entry_id": "x_205",
          "name": "Bench press",
          "sets": 3,
          "reps": 10,
          "weight_kg": 60,
          "calories_burned": null
        }
      ]
    }
  • log_exercise Adds a cardio exercise to a day. write

    Adds the exercise to the day and returns the entry with the calories MyFitnessPal credits for it. Strength training with sets, reps and weight is not logged by this tool. It reaches no one, and delete_diary_entry undoes it, so it does not wait for your OK.

    MCP callmyfitnesspal_write → log_exercise

    REST endpointPOST https://cotlet.dev/api/v1/myfitnesspal/exercises

    Parameters

    Parameters: log_exercise
    NameTypeDescription
    name string required string Exercise name as MyFitnessPal lists it, for example Running.
    minutes integer required integer Duration in minutes.
    date string string Diary day as YYYY-MM-DD. Defaults to today in your account time zone.

    Example input

    {
      "name": "Jane Doe",
      "minutes": 1
    }

    Example response

    {
      "entry_id": "x_210",
      "name": "Running",
      "minutes": 40,
      "calories_burned": 410,
      "date": "2026-11-03"
    }

Goals1

Read only. MyFitnessPal sets fat, carb and protein goals as percentages of calories in 5% steps (MyFitnessPal Help, 6 Nov 2026).

  • get_nutrition_goals Returns your daily calorie and macro goals. read

    Returns the calorie goal and the protein, carbs and fat goals set under Goals in your account. On the free plan the macro goals are percentages of calories; Premium can set grams. The response says which kind the account uses.

    MCP callmyfitnesspal_read → get_nutrition_goals

    REST endpointGET https://cotlet.dev/api/v1/myfitnesspal/nutrition-goals

    Parameters

    No parameters.

    Example response

    {
      "calories": 2100,
      "macros": {
        "protein": {
          "percent": 25
        },
        "carbs": {
          "percent": 50
        },
        "fat": {
          "percent": 25
        }
      },
      "goal_type": "percent"
    }
Encrypted, revocable

Who can see my MyFitnessPal session, and how do I revoke it?

  • What we store

    Your logged-in MyFitnessPal profile, encrypted with AES-256-GCM, in Finland. Not the password.

  • What your agent gets

    The 15 MyFitnessPal tools. Never the cookie.

  • What the session sees

    Your diary, goals, weights, water, exercise and saved meals.

  • What no tool touches

    Premium plan, payment, password, two-factor and deleting your account.

  • If MyFitnessPal asks to verify

    A code goes to you. You type it in, we never do.

  • How to cut access

    Disable for agents, reset the browser, or log out of MyFitnessPal.

Our site scores A+ on Qualys SSL Labs, securityheaders.com and Mozilla Observatory (live results). There is no SOC 2 report or third-party pentest yet.

Tested every 12 h

What happens when MyFitnessPal changes? We repair the tool; your prompts stay the same.

between tests of the MyFitnessPal tools
12 h
for a call to a MyFitnessPal tool paused for repair
$0

MyFitnessPal has just redesigned its home screen: the Diary became the Today tab (MyFitnessPal Help, 6 Nov 2026). When screens move or fields are renamed, the fix happens on our side and your prompts keep working. status.cotlet.dev watches the site, console and API every 3 minutes.

7 write tools, your diary only

Undo and mistakes Everything stays in your own diary.

  1. 01 Finds the food Searches the database and offers the matches.
  2. 02 Picks a serving Reads the servings the food lists and uses yours.
  3. 03 Logs it Adds it to the meal and day you named.
  4. 04 Reports the result Entry ID, calories and the date it landed on.
How each MyFitnessPal write is undone
ActionUndo
Log a food or a saved mealdelete_diary_entry, one entry per call
Quick add caloriesdelete_diary_entry
Log exercisedelete_diary_entry
Log waterLog a correcting amount
Log weightLog the right weight; a new call corrects the day

None of the 15 tools waits for your OK: every write lands in your own diary and reaches no one, and each one has an undo. Scheduled runs need no approval.

A wrong day or serving is a diary edit, not a lost record. Ask the agent to fix the entry or delete it.

MCP call
{
  "name": "log_food",
  "arguments": {
    "food_id": "f_88120",
    "meal": "Snacks",
    "serving": "170 g",
    "quantity": 1,
    "date": "2026-11-04"
  }
}
REST
curl -X POST https://cotlet.dev/api/v1/myfitnesspal/foods/f_88120 \
  -H "Authorization: Bearer $COTLET_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"meal":"Snacks","serving":"170 g","quantity":1,"date":"2026-11-04"}'
Tool output
{
  "entry_id": "e_1060",
  "meal": "Snacks",
  "food": "Greek Yogurt, Plain, Nonfat",
  "serving": "170 g",
  "quantity": 1,
  "calories": 100,
  "date": "2026-11-04"
}

Scripts and cron jobs reach the same tools over REST at /api/v1/myfitnesspal, with the same key and price. A failed call costs nothing. The tools table lists the REST path of each tool.

Pay per call

How much does the MyFitnessPal MCP server cost?

About $37 a monthfor logging 6 foods a day with weight and water, 6,360 credits. Your MyFitnessPal plan is billed by MyFitnessPal as before.

A month of MyFitnessPal jobs for one person, in credits
JobCallsCredits
Log a day of meals from your words, daily13 × 303,900
Log weight and water, daily2 × 30600
Weekly review: 7 diary days, goals, weights9 × 4360
Cloud Browser, 30 days1,500
Total6,360
  • Free 7-day trial, no card
  • 10 credits per successful call, MCP or REST
  • 50 credits a day for the Cloud Browser
  • Works on the free MyFitnessPal plan too

The month is our example. A research dataset of MyFitnessPal diaries averages 5.86 foods a user-day, so we use 6, each with one search call and one log call. MyFitnessPal's own advertiser page says engaged US members log about 16, which would cost more. Dollars at the $29 pack rate.

Cotlet credit packs: price, credits and calls at 10 credits each
Credits Price, one time Calls at 10 credits Per 1,000 credits
5,000 $29 500 $5.80
15,000 $79 1,500 $5.27
32,000 $149 3,200 $4.66
60,000 $249 6,000 $4.15

Only successful calls use credits; failed calls and timeouts cost nothing. At a balance of 0 calls pause, never a surprise charge. Authenticate with the Authorization: Bearer header.

Other options

MyFitnessPal MCP server on GitHub, in ChatGPT or hosted: which to use Free servers exist if you run them yourself.

Other MyFitnessPal MCP options, checked 6 Nov 2026
OptionWhat it doesWhere it stops
Mason-Levyy/myfitnesspal-mcp19 tools for diary, food search, weight, water, exercise and trends. PyPI package mfp-mcp, 2,685 downloads last month, 30 stars, MIT, last commit 6 Nov 2026.Runs on your computer. Claude on the web, your phone and ChatGPT need you to host it.
AdamWalt/myfitnesspal-mcp-pythonLocal server with about 20 tools, 70 stars, MIT, last commit 20 Oct 2026.Local only, you keep it running.
delize/myfitness-mcpRemote server for a Claude custom connector, Docker, 4 stars, last commit 31 Oct 2026.You host it and refresh its login when it expires.
thesaaspreneur/myfitnesspal-mcp33 tools including custom foods and recipes, 0 stars, last commit 1 Sep 2026.Local, single maintainer.
MyFitnessPal in ChatGPTOfficial since 7 Jan 2026: recipes, calorie targets and macro advice from MyFitnessPal data.ChatGPT only. The launch post says logging meals there is not available.
learntospeak.aiHosted connector with 14 tools, key based.A third-party service; price not listed on the page.

If you are happy to install a server and keep it running, a GitHub server is free. Cotlet is for people who want the same diary tools in Claude or ChatGPT with nothing to host, on any device, on a schedule if you like.

EU company, since 2019

Who runs Cotlet A company you can look up.

Take Group sp. z o.o. runs Cotlet. It is a software company registered in Poland, EU (VAT PL6342984273), working since 2019, founded by Bart Krawczyk (Co-founder, CTO) and Jake Slugocki (Co-founder, SEO, sales and marketing). Write to contact@cotlet.dev with questions about the MyFitnessPal tools.

MyFitnessPal MCP server: questions

How do I connect MyFitnessPal to ChatGPT or Claude?

Sign up at cotlet.dev, log in to MyFitnessPal once in its Cloud Browser and add Cotlet to ChatGPT or Claude, following the steps in your console. No API key is needed. ChatGPT and Claude then work in your MyFitnessPal account through Cotlet, in their phone apps too.

What can ChatGPT do in MyFitnessPal?

With Cotlet, ChatGPT, Claude and other AI agents handle jobs like these in MyFitnessPal: log meals from a text or photo description; add a daily nutrition summary to a spreadsheet; copy a usual meal to today. You ask in plain words, and anything that reaches other people waits for your OK first.

How do I get access?

Create a free account at https://cotlet.dev, open MyFitnessPal under Integrations in the console and log in to MyFitnessPal in its Cloud Browser. The trial starts with your first app, no card asked.

Do I need MyFitnessPal Premium?

No for logging foods and calorie-only Quick Add. Premium adds fat, carbs and protein to Quick Add entries, and the quick_add_calories tool fails if you pass grams without it (MyFitnessPal Help: Getting started with Quick Add, checked 6 Nov 2026).

Is there an official MyFitnessPal app in ChatGPT?

Yes, since 7 Jan 2026. You write @myfitnesspal before a nutrition question. Its launch post says logging meals there is not available and may come in future versions, so Cotlet is the way to log from a chat today.

Does it use the MyFitnessPal website?

Yes. Cotlet works in the MyFitnessPal website in your own Cloud Browser, where the food diary is at myfitnesspal.com/food/diary, so you need no app on the phone.

Is the MCP server different from the REST API?

Only the door is different. Both expose the same 15 tools, inputs and answers, with one API key and one price. Agents use MCP; scripts and HTTP steps use REST.

Is Cotlet affiliated with MyFitnessPal?

No. Cotlet is independent and not affiliated with MyFitnessPal.

Give your agent access to MyFitnessPal.

Free 7-day trial with 2,000 credits, no card needed.