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"Using a search engine to find evidence to answer a question" 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.
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    Apache 2.0
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    Enables AI assistants to search for recipes, get nutritional information, find ingredients, and more through the Spoonacular Food API using natural language.
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    ISC
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    Enables AI assistants to answer food safety and shelf-life questions using USDA-grade data, with tools for shelf life, safety checks, storage tips, and waste cost calculations.
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    MIT
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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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    Enables AI agents to analyze synthetic biomarker panels via Phi Longevity's PRISM clinical recommendation engine, providing tiered, guideline-cited recommendations. Also offers tools to list supported biomarkers and retrieve methodology.
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    Apache 2.0
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    An MCP server that provides access to detailed exercise-to-muscle mapping data for over 320 exercises and 65 muscles. It enables users to analyze workout coverage, find exercise alternatives based on muscle overlap, and search for specific exercise activation data.
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    MIT
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    Enables AI assistants to answer questions about and log a user's FitTrack fitness data after validating a short-lived personal access token, with tools like recent_workouts and today_nutrition.
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    An ingredient-based recommendation engine that identifies similar products using TF-IDF vectorization and scans ingredient lists for potential irritants. It enables users to perform NLP-based product matching and check for skin-sensitivity red flags within Claude.
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    A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.
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    MIT