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  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.
    AGPL 3.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    Turn your Android phone into an MCP server. AI assistants connect on demand, query your health data, notifications, app usage, and take actions on your device — all end-to-end encrypted, no cloud sync.
    5
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    Family meal planning run by your own AI agent: it proposes ten dinners each week, the household votes and leaves feedback from personal links, the top picks win, and a grocery list is built minus what's already in the pantry. Remote MCP server at https://agentchef.net/mcp; connect with an API key and say "Run Agent Chef."
    34
    12 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A local-first MCP server for querying multi-omic personal health data (genome, labs, wearables) with an honesty contract and progressive disclosure skills.
    1
    AGPL 3.0
  • 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.
    8,282 npm
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables turning any personal-assistant REST backend into Claude-ready tools via a single MCP server, providing 38 tools for communications, finance, health, and more.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Your AI running coach that actually remembers. An MCP server with persistent memory that connects your Strava data to Claude — tracking your zones, pace trends, injuries, and goals across sessions so coaching advice stays current.
    MIT
  • F
    license
    Not graded
    quality
    Not graded
    maintenance
    Enables healthcare benefits management by providing member eligibility verification, coverage details for medical/dental/vision/pharmacy services, and service coverage verification through natural language queries.
    -
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI agents like Claude Desktop, Cursor, and VS Code to connect directly to COLMI R02/R03 and compatible smart rings over local Bluetooth LE, exposing tools for ring scanning, battery and firmware status, activity and sleep/recovery insights, real-time heart rate and SpO2 vitals, 3-axis motion sampling, clock sync, and physical LED blinking. Runs fully locally with no vendor cloud, accounts, or subscriptions.
    8
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to search for real-time prescription drug prices, find local pharmacies, and retrieve discount coupons through the GoodRx service. It uses Playwright browser automation to provide drug comparisons and checkout details like BIN and PCN codes.
    5
    7 npm
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Enables AI agents to interact with the Teladoc telehealth platform to search for providers, book virtual appointments, and manage prescriptions. It also supports secure messaging and access to past visit history through the Model Context Protocol.
    8
    5 npm
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Integrates with EMRs like Cerner and Epic via FHIR to retrieve patient data, and provides medical research tools (PubMed, clinical trials, FDA) for clinical analysis.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides LLM agents with read-only access to FatSecret's food and recipe database through MCP tools for searching foods and retrieving detailed nutritional information.
    51 npm
    MIT