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"How to import transaction history to YNAB" 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.
    5
    1
    Apache 2.0
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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.
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    MCP server that reads glucose data from a FreeStyle sensor via the LibreLinkUp API, providing current glucose and history with explicit coverage and gaps.
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    MIT
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    MCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.
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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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    A local MCP server that caches Garmin Connect data in SQLite for fast, read-only queries, with tools for bulk import, rate-limited sync, and failure alerts.
    9
    MIT
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    Product evaluation MCP server for US packaged food. Health scores, ingredient safety, regulatory flags, recall history, corporate ownership.
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    MIT
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    Connects AI agents to Iridium fitness data to query workout history, nutrition logs, and body measurements. It enables users to track exercise progress, training volume, and personalized trainer analysis through natural language.
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    MIT
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    MCP server for pediatric CKD follow-up management, providing tools to schedule follow-ups based on KDIGO 2024 guidelines, retrieve follow-up records, compute adherence scores, and access PEW history.
    4
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    Integrates with the Strava API to allow AI assistants to access fitness data including athlete profiles, activity history, and segment statistics. It enables users to query detailed performance metrics and explore geographic segment data through natural language commands.
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    MIT
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    Enables AI assistants to access and analyze Continuous Glucose Monitor (CGM) data from Nightscout, providing real-time readings, history, and analytics.
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    MIT
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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.
    9