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    Condition-aware ingredient & product safety intelligence for AI agents. Every answer carries a claim-level evidence attestation, verdict, an evidence tier, and a citation – curated against authoritative sources (LactMed, InfantRisk, PubMed, DSLD, DermNet, EU CosIng) by Health AI. Hosted MCP server – no install, no key. Endpoint: https://mcp.healthai.com (Streamable HTTP, JSON-RPC 2
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    MIT
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    Local-first MCP server that connects AI agents to your Oura Ring readiness, sleep, activity, and HRV data. Tokens never leave your machine.
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    MIT
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    An AI-powered running coach that connects Claude to your Strava data, providing personalized training plans, progress tracking, and coaching feedback through a web dashboard.
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    MIT
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    An MCP server that provides access to Cronometer nutrition data, enabling users to pull food logs, macro and micronutrient summaries, and biometric data into Claude or Cursor. It supports daily nutrition tracking and raw CSV exports by interfacing with the Cronometer web protocol.
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    MIT
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    A local-first MCP server that enables AI agents to read user-authorized Google Health API v4 data from Fitbit, Pixel Watch, and partners via OAuth, with tokens never leaving the machine.
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    40
    MIT
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    A generic MCP server for tracking any entity type (e.g., weight, workouts, books) without predefined schemas, using SQLite with JSON columns for flexible data storage and querying.
    4
    MIT
  • F
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    Local MCP server for the WHOOP API v2 that provides tools to access recovery, sleep, strain, and workout data, with local history and JSON export.
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    Local-first MCP server that connects AI agents to your Garmin sleep, HRV, Body Battery, stress, training readiness and activities, keeping tokens on your machine.
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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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    Enables access to Lose It calorie tracking data including daily summaries with budgets and remaining calories, weekly history, and food logs. Integrates with the Lose It web app API to retrieve nutrition information and dietary entries for monitoring caloric intake.
    3
    MIT
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    A Model Context Protocol (MCP) server that connects AI assistants to your MyFitnessPal data, enabling reading food diaries, nutrition goals, weight measurements, and more via MFP's web scraping.
    MIT
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    A health-data MCP server with per-user authorization using JWT tokens, enabling secure access to fitness data like profiles, progress, meal logs, workout logs, and weight logs through MCP tools.
    MIT
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    An OAuth-protected MCP sidecar for Frappe applications, enabling secure access to Frappe tool packs (e.g., personal health metrics) by validating OAuth tokens and issuing internal assertions.
    MIT
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    Connect Pelaris to any MCP-compatible AI assistant for personalised fitness coaching. Plan training programs, log workouts, track benchmarks, manage goals, and get data-driven coaching insights. Supports science-based methodologies including 5/3/1, Pfitzinger, polarised training, and more. OAuth 2.0 authentication with Streamable HTTP transport. Documentation: https://pelaris.io/integrations Web