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MyFitnessPal MCP Server

by delize
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Python
Hybrid

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    • mfp-mcp

      Mason-Levyy
      A
      license
      A
      quality
      A
      maintenance
      Connect MyFitnessPal to Claude or any MCP client. Log meals, search food database with macros, track trends, and export nutrition history against your real MyFitnessPal diary.
      18
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    • MyFitnessPal MCP

      thesaaspreneur
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      license
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      Enables reading and writing MyFitnessPal data—including food diary entries, custom foods, saved meals, recipes, exercise, measurements, water, and nutrition goals—through 33 MCP tools using your existing browser session for authentication.
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    • MyFitnessPal MCP

      a1dancole
      A
      license
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      quality
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      maintenance
      Enables Claude to access your MyFitnessPal diary—foods, portions, meal and daily nutrition totals, water, exercise, steps, and weight—through a custom connector on web, desktop, and mobile.
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    • fitness-mcp

      ikeike443
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      quality
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      maintenance
      A personal remote MCP server that lets Claude read your Hevy workout data and MacroFactor nutrition data directly in conversation, with read-only tools for workouts, body measurements, macros, and weight trends.
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    Deploy Server
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    TDQS

    A3.9/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: read/write pairs (get_water/set_water, get_goals/set_goals) are unambiguous, and diary CRUD operations are well-separated. The closest overlap is among the four food-list tools (search, recent, frequent, my_foods) and between create_food and add_food_to_diary, but descriptions clarify the source and intent of each.

    Naming Consistency5/5

    All 18 tools follow a uniform mfp_ prefix with snake_case verb_noun naming (get_, set_, add_, update_, delete_, search_, create_). The verb-noun pattern is predictable and consistent throughout, making tool selection straightforward for agents.

    Tool Count4/5

    18 tools is slightly above the ideal 3-15 range, but the domain is broad: diary entries, food database, measurements, goals, water, exercises, and reports each justify several tools. The count feels earned rather than bloated, though it leans heavy.

    Completeness4/5

    Core nutrition workflows are complete: diary entries have full CRUD, goals and water have read/write pairs, measurements have set/get, and the food database supports search, details, and creation. Notable gaps are the lack of exercise logging (get_exercises has no set/add counterpart) and no edit/delete tools for custom foods despite create_food implying they can be deleted.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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