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    Claude Code plugin and MCP server that nudges you to take outdoor breaks based on local weather, sunset timing, and session streaks. Exposes check_grass_conditions, suggest_activity, log_touch_grass, and get_stats tools — fully local, no API keys, no cloud storage.
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    MIT
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    MCP server for managing food diary, nutrition tracking, meal planning, and weight logging via the FatSecret Platform API.
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    MIT
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    MCP server for loading and querying public data from the Brazilian National Registry of Health Establishments (CNES). It enables natural language searches for health facilities by municipality, CNES code, or state, along with statistics and data loading.
    6
    MIT
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    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.
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    MIT
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    Healthcare billing AI for agents — 12 tools for ICD-10/CPT/HCPCS code lookup (80K+ codes), prior auth prediction, medical NER, claims validation, HIPAA compliance auditing, and provider/drug enrichment. Pay-per-call via credits or USDC.
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    MIT
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    Huckleberry MCP server for Claude, Cursor, and other AI assistants. Query and log baby sleep, feeds, diapers, growth, pumping, and solids.
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    MIT
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    MCP server for workout-file conversion: convert, validate, and inspect FIT, TCX, ZWO, and Garmin Connect files, with round-trip-safe conversions through the KRD canonical JSON format. Runs locally over stdio via npx -y @kaiord/mcp. Part of the open-source, local-first Kaiord training platform.
    7
    MIT
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    Integrates healthcare data from multiple sources (HL7 v2, FHIR, DICOM, device telemetry) and provides clinicians with secure, role-based access to patient context, care unit summaries, device events, diagnostic exams, and other clinical data through specialized MCP tools.
    MIT
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    A local, single-user, read-only MCP server that gives Claude Code access to your Garmin health and training data, exposing tools for health snapshots, training status, run details, body metrics, and training analysis.
    1
    MIT