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"How to implement intent recognition in MCP" matching MCP servers:

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    An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
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    Apache 2.0
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    56 tools for nutritionists to manage patients, meal plans, prescriptions, clinical records, and anthropometry via MCP clients like Claude and Cursor.
    MIT
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    An MCP server for nutritionists to manage patients, prescriptions, anthropometry, and meal plans, integrating with Claude, Cursor, and other AI agents.
    MIT
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    Ask your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.
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    MIT
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    Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.
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    MIT
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    An MCP server that enables AI agents to query Apple Health data (190+ metrics) in natural language, including trends, comparisons, and structured exports.
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    MIT
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    Enables AI assistants to manage recipes, meal plans, and shopping lists in Mealie through natural language, supporting CRUD operations and URL-based recipe imports.
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    MIT
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    MCP server that connects Garmin Connect to Claude Desktop, allowing users to query health and fitness data (sleep, workouts, heart rate, HRV, stress, Body Battery, etc.) in plain English and also log weight, hydration, and schedule workouts.
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    MIT
  • F
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    Enables querying Garmin health data stored in Supabase through natural language, providing access to VO2 max trends, activity breakdowns, sleep statistics, race predictions, heart rate zones, and training load metrics.
    7
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    A Model Context Protocol server that enables natural language commands to manage healthcare data stored in Medplum FHIR servers through standardized Create, Read, Update, and Search operations.
    37
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    MIT
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    Enables retrieval and analysis of MyFitnessPal nutrition data including daily summaries, meal breakdowns, exercise tracking, and macro/micronutrient analysis. Uses browser cookie authentication to access your personal MyFitnessPal account data through natural language queries.
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    A local-first, model-agnostic MCP server that stores personal health data in a SQLite file and provides analysis-ready views for any AI client to log, retrieve, and reason over health records.
    79
    MIT
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    Integrates with Google Maps to locate and evaluate medical facilities in emergency situations, helping users find appropriate hospitals and clinics based on medical needs, emergency level, and facility capabilities.
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    MIT