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    Provides SQL access to the ANSES Ciqual French food composition database with nutritional data for over 3,000 foods. Supports full-text search and bilingual queries for comprehensive nutrition analysis.
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    9
    MIT
  • F
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    Provides a unified MCP interface to a personal health database, enabling AI agents to sync lifting workouts from Hevy, log food intake against a catalog, and run read-only SQL queries to cross-reference training and nutrition data.
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    Enables Claude Desktop and Claude Code to read locally synced Fitbit Air health data — scores, trends, sleep, activity, running and body age — run read-only SQL against it, and keep a journal and coach notes on the user's Mac. It also offers profile edits, a refresh tool, and guided prompts such as morning check-ins, weekly reviews, race planning and score explanations.
    17
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    Apache 2.0
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    Enables any MCP-capable agent to read and write a local personal timeline — GPS tracks, photos, workouts, health metrics, and stays — through seven indexed tools for monthly timelines, cross-modal lookups around a moment, geo-track retrieval, atlas exports, and idempotent JSONL ingestion. All data stays in a single on-device SQLite file, with no arbitrary SQL and no cloud.
    7
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    MIT
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    Enables MCP clients to query locally computed recovery, strain, sleep, workout, and heart-rate data from a personal SQLite database, with tools for daily and sleep summaries, workout details, heart-rate buckets, schema inspection, reports, sync, and read-only SQL.
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    MIT
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    Enables Claude to ingest a local Samsung Health export into DuckDB and query monthly trends, period comparisons, trips, sleep timing, activity profiles, workouts, and custom read-only SQL while keeping raw data on the user's machine. It also generates a dashboard artifact with actionable next steps based on the user's aggregates.
    16
    MIT
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    Enables AI assistants to read training, sleep, recovery, nutrition, body composition, race and goal data, and with permission write workouts, daily targets, meal plans, logged meals and notes. Also supports checking for updates since the last look.
    MIT
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    Provides Claude with SQL access to Hevy workout history and personal training conventions stored in a SQLite database. It enables detailed analysis of exercise progress, volume trends, and muscle group mappings through natural language queries.
    MIT
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    Gives Claude and ChatGPT read-only access to locally stored Garmin running and health data, so users can ask about recovery status, individual runs, best efforts, sleep and long-term trends, pull computed weekly reports, or run read-only SQL for anything else. It also triggers an on-demand sync so the answers reflect the latest data.
    AGPL 3.0
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    Read-only MCP server that exposes Garmin Connect health data from a local SQLite database to AI assistants, enabling queries for recent days, sleep, weekly trends, and a guarded SQL query surface.
    MIT
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    Enables AI assistants to retrieve and analyze Garmin Connect health data, including daily summaries, sleep, HRV, workouts, and raw FIT files, while also supporting SQL queries on the underlying database.
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