"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP servers:

Enables MCP hosts to query a curated traditional Chinese medicine wellness knowledge base, run constitution assessments, identify intake information gaps, and obtain rule-based safety checks with five-tier risk conclusions.

A comprehensive health coaching system that combines blood test analysis with evidence-based nutritional therapy recommendations, powered by Retrieval-Augmented Generation (RAG).

Enables retrieval of InBody body composition data including profile, scan history, and full metrics via MCP tools.

MCP server for Cronometer nutrition tracking, enabling food diary management, nutrition data retrieval, food search, and biometric tracking via Cronometer's mobile REST API.

Mock MCP server for pediatric CKD risk warning, enabling patient biochemical trend retrieval, deterministic risk rule evaluation, structured alert triggering, and clinical SOP lookup using simulated data.

MCP server for Cronometer nutrition tracking using the mobile API. Enables food logging, nutrition data retrieval, diary management, and fasting tracking.

Enables AI assistants to read and analyze Google Fit exported data (activities, daily metrics, workouts, sleep) from Google Takeout, providing tools for queries, resources, and coaching prompts.

Enables nutrition tracking with Cronometer, including food logging, food search, diary management, and nutrition data retrieval via natural language.

Provides read-only access to a China-region Garmin Connect account, enabling retrieval of daily summaries, sleep, heart rate, HRV, training readiness, body battery, and activity data.

Read/write MCP server for Intervals.icu — 51 tools spanning activities, streams, wellness, calendar, gear, and sport zones, plus structured workout generation with a built-in syntax reference for cycling, running, and swimming.

MCP server that connects Claude and ChatGPT to the Intervals.icu API, enabling retrieval and management of activities, events, wellness data, power curves, and custom items.

This MCP server generates individualized meal plans for children with chronic kidney disease (CKD) based on KDIGO 2024/PRNT 2020/KRCP 2025 guidelines, incorporating patient age, CKD stage, allergies, dietary culture, and diet diary analysis. It provides deterministic nutrient computations and tools for meal plan generation, food database lookup, and risk analysis.

An MCP server for AI-powered recipe generation and transformation, enabling users to create custom recipes from natural language descriptions and modify existing ones to meet dietary and nutritional goals.

Enables local retrieval of Pushing Limits Club training data, including planned and actual workouts, TSS, CTL/ATL/TSB, weekly summaries, and thresholds, without needing a browser. It provides these metrics to Claude Desktop via stdio.

Enables MCP clients to search FHIR R4 patients and observations, access patient data as resources, and generate clinical summaries through prompts, using a public HAPI FHIR sandbox.

An MCP server for rehabilitation monitoring that provides tools for patient risk scoring, outcome analysis, report generation, alerts, and research search, along with prompts and CSV data resources.

Enables workout logging, volume calculation, exercise database search with 1500+ exercises, and AI-powered workout plan generation with DynamoDB persistence.

Connects personal API integrations like Hevy fitness and exposes them as MCP tools, resources, and prompts.

Enables analysis and retrieval of JEFit workout data through natural language. Provides access to workout dates, detailed exercise information, and batch workout analysis for fitness tracking and progress monitoring.

A local, read-only Model Context Protocol server for an athlete's Strava profile and activities, enabling retrieval of profile data, activity lists (with paging and date filters), and detailed activity information via standard input/output for MCP hosts.

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.

Enables retrieval of Garmin Connect data such as activities, sleep, heart rate, and body battery levels using unofficial API through MCP tools.

Enables MCP clients to interact with the Strava REST API through tools generated from Strava's official Swagger spec, supporting OAuth, activity and athlete data retrieval, and configurable write/delete operations.

A MCP server that tracks daily calorie intake through natural language interaction, providing meal recording, daily summary, weekly report generation, and food search functions.

MCP server for meal planning and grocery list generation, enabling recipe storage, meal plan creation, and automated grocery lists with ignored ingredients.

Provides mental health resources for Kenya including therapist finder, crisis lines, rights under Kenya Mental Health Act, workplace wellness, and self-help resources.

An MCP server that enables AI-powered recipe generation and transformation using natural language, supporting dietary restrictions, allergies, and nutritional goals.

Enables retrieval and analysis of MyFitnessPal nutrition data including daily summaries, meal breakdowns, exercise tracking, and macro/micronutrient analysis. Uses browser cookie authentication to access your personal MyFitnessPal account data through natural language queries.

Enables querying a global food nutrition database of generic and branded products, including search by name, lookup by barcode, and retrieval of resolved nutrient values pinned to a dated snapshot. Coverage spans USDA FoodData Central and Open Food Facts sources, with freshness health checks available.

A Model Context Protocol (MCP) implementation for Fitbit, enabling AI assistants to access and analyze your Fitbit health and fitness data. Disclaimer: This is an unofficial integration built using Fitbit's public API and is not affiliated with or endorsed by Fitbit Inc.