adamwalt/myfitnesspal-mcp-python

Developer tools

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Repository Install

adamwalt/myfitnesspal-mcp-python는 MCP 서버 후보자는 https://github.com/adamwalt/myfitnesspal-mcp-python.에서 수입했습니다

개요

adamwalt/myfitnesspal-mcp-python는 MCP 서버 후보자는 https://github.com/adamwalt/myfitnesspal-mcp-python.에서 수입했습니다

개요(AI 번역)

A Model Context Protocol (MCP) 서버는 식품 일기, 운동, 신체 측정, 영양 목표 및 물 섭취를 포함한 MyFitnessPal 데이터와 상호 작용하는 Claude와 같은 AI 조수를 가능하게합니다.

특징

| 도구 | 유형 | 묘사 | |------|-------| | mfp_get_diary | 읽다 | 날짜별 음식 일기표 | mfp_search_food | 읽다 | MyFitnessPal 식품 데이터베이스 검색 | | mfp_get_food_details | 읽음 | 음식에 대한 자세한 영양정보를 얻으십시오 | | [T3] | 글쓰기 | 특정 식사 및 날짜에 대한 일기에 음식 항목을 추가 | | mfp_remove_food_from_diary | 글쓰기 | 일기에서 로그온을 제거 | | mfp_create_custom_food | 글쓰기 | 전체 영양 패널과 개인 맞춤식 식품 만들기 | | mfp_list_own_foods | 읽음 | 자신만의 주문식품 일람표(개인은 검색되지 않습니다) | | mfp_delete_custom_food | 글쓰기 | 사용자 지정 식품의 삭제 | | mfp_get_measurements | 읽다 | 체중/체중 측정 내역 | | mfp_set_measurement | 글쓰기 | 새로운 무게나 신체 측정에 로그인 | | mfp_get_exercises | 읽음 | 로그인 연습 (cardio & strength) |

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README

원문 README의 일부입니다. 원문 보기.

MyFitnessPal MCP Server

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your MyFitnessPal data, including food diary, exercises, body measurements, nutrition goals, and water intake.

Features

Tool	Type	Description
`mfp_get_diary`	Read	Get food diary entries for any date
`mfp_search_food`	Read	Search the MyFitnessPal food database
`mfp_get_food_details`	Read	Get detailed nutrition info for a food item
`mfp_add_food_to_diary`	Write	Add a food item to your diary for a specific meal and date
`mfp_remove_food_from_diary`	Write	Remove a logged entry from your diary
`mfp_create_custom_food`	Write	Create a private custom food with a full nutrition panel
`mfp_list_own_foods`	Read	List your own custom foods (private ones do not appear in search)
`mfp_delete_custom_food`	Write	Delete one of your custom foods
`mfp_get_measurements`	Read	Get weight/body measurement history
`mfp_set_measurement`	Write	Log a new weight or body measurement
`mfp_get_exercises`	Read	Get logged exercises (cardio & strength)
`mfp_get_goals`	Read	Get daily nutrition goals
`mfp_set_goals`	Write	Update daily nutrition goals
`mfp_get_water`	Read	Get water intake for a date
`mfp_set_water`	Write	Log water intake for a date
`mfp_get_steps`	Read	Get daily step counts synced from Apple Health / devices
`mfp_log_fast`	Write	Log a completed intermittent fasting window (start + end)
`mfp_update_fast`	Write	Update the start/end times of an existing fasting entry
`mfp_delete_fast`	Write	Delete a fasting entry by id
`mfp_get_report`	Read	Get nutrition reports over a date range
`refresh_browser_cookies`	Utility	Extract and save session cookies from browser

How diary writes work

MyFitnessPal has no public API. Reads here are scraped from the website via python-myfitnesspal, and diary writes go through MFP’s internal v2 JSON API — the same one their web client uses, authenticated with your existing session token.

Custom-food writes (mfp_create_custom_food, mfp_list_own_foods, mfp_delete_custom_food) use a different endpoint family: MFP’s v2 API exposes no custom-food create, so these call the same cookie-authenticated web endpoints their website uses (/api/auth/csrf, /api/services/users/foods/mine, /api/services/foods). No browser needs to be running — the stored session cookies are sufficient.

That interface is undocumented and was determined by observing the web client. It works today, but MyFitnessPal can change it without notice. They have already done so once: this server originally posted to /food/diary/{user}/add, which now returns 404, leaving food logging

GitHub에서 전체 README 보기

설치

docker run -it --rm \

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설정

{
  "mcpServers": {
    "myfitnesspal": {
      "command": "/Users/yourname/myfitnesspal-mcp-python/venv/bin/python",
      "args": ["-m", "mfp_mcp.server"],
      "env": {
        "MFP_USERNAME": "gAAAAAB...<encrypted_email>",
        "MFP_PASSWORD": "gAAAAAB...<encrypted_password>"
      }
    }
  }
}