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Alternatives to ORP MCP Server

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      A comprehensive AI-powered fitness tracking application that enables AI tools to interact intelligently with user fitness data, providing personalized workout plans, nutrition tracking, and progress analysis through natural language.
      15
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A universal fitness intelligence layer for AI assistants like Claude, ChatGPT, and Copilot, enabling user profiles, workout/diet plans, calendar scheduling, and gamification via MCP and REST APIs.
      10,440 npm
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Enables AI assistants to search, validate, and edit OpenStreetMap data through natural language commands and built-in safety protections. It supports discovery of nearby amenities, geographic data exploration, and secure map editing via OAuth authentication.
      31
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    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that turns any MCP-compatible LLM client into a wellness coach grounded in verified public data, offering nutrition, exercise, biometric, and preventive care tools with safety guardrails.
      MIT

    TDQS

    B3.4/5.0

    Scored across 16 tools

    Disambiguation4/5

    Each tool targets a distinct resource or action: profile get/update, facility/session/meal discovery, plan lifecycle, and adherence logging/summary. Minor overlap exists between plan_validate and plan_save (save re-validates) and between profile_get and readiness_questions, but the descriptions clarify the boundaries.

    Naming Consistency3/5

    Most names follow a verb_noun pattern (find_facilities, estimate_energy, plan_save), but several are noun phrases (readiness_questions, wearable_summary, adherence_summary), one is a single verb (geocode), and food_lookup reverses the verb/object order. The snake_case convention is consistent, but the semantic pattern is mixed.

    Tool Count4/5

    16 tools is slightly above the ideal 3-15 range, but the domain spans profile management, discovery, nutrition, wearables, plans, and adherence, and each tool has a distinct purpose. No tools feel redundant.

    Completeness3/5

    Core workflows are covered: profile get/update, plan validate/save/get, adherence log/summary, and location/nutrition discovery. Obvious gaps include no plan delete/history, no retrieval of raw adherence entries, and no booking action for discoverable sessions or facilities.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive