"Mantis Zugriff - Access and Login Information for Mantis Bug Tracker" matching MCP servers:

MCP server for tracking nutrition meals and workouts, integrating with claude.ai to manage food logs, macros, exercise catalogs, and generate daily/weekly summaries.

Enables AI assistants to query workouts, activity history, training load, VO2Max progression, recovery metrics, and social feeds from Sports Tracker.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Habit Tracker AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Sleep Tracker AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Nutrition Tracker AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Tracks meals for three people with cost calculation, deployable on Render and connectable to ChatGPT.

Offline MCP server for logging workouts, tracking dietary macros, and retrieving daily summaries, all stored in local SQLite. Enables fitness tracking via natural language in MCP-compatible clients.

Integrates with Whoop API v2 to access user profile, sleep, recovery, cycles, and workout data via natural language, with OAuth2 authentication and automatic token refresh.

Enables users to track daily calorie consumption by logging meals through natural language and searching a comprehensive food database. It provides daily summaries, weekly reports, and persistent SQLite storage to monitor dietary trends and goals.

Enables tracking food intake and nutrition using the USDA FoodData Central database. Supports logging meals, setting daily nutrition goals, viewing food diaries, and analyzing nutrition trends over time with local SQLite storage.

Tracks daily calorie intake with accurate BMR/TDEE calculations, food logging, and profile management via Cloudflare Workers and D1 database.

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

Connects WHOOP fitness data to Poke AI assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.

Connects to a Gym Tracker Supabase database to provide LLMs with access to personal workout history, routines, and training progress. It enables users to analyze fitness performance, track personal records, and receive personalized coaching advice through natural language.

Enables users to track daily habits via natural language within ChatGPT, supporting habit creation, check-ins, streak calculation, and a visual React widget for interaction.

Enables users to analyze their habits over a specified period and receive weekly reviews through natural language prompts.

Enables calorie and macronutrient tracking by letting users search foods, build recipes, compute macros, and log meals through an MCP server, with all nutrition calculations performed server-side.

Exposes over 90 Garmin Connect tools for tracking activities, health metrics, and training data through the Model Context Protocol. It is optimized for Poke compatibility and supports deployment to Render via HTTP.

Enables AI agents like Claude Desktop, Cursor, and VS Code to connect directly to COLMI R02/R03 and compatible smart rings over local Bluetooth LE, exposing tools for ring scanning, battery and firmware status, activity and sleep/recovery insights, real-time heart rate and SpO2 vitals, 3-axis motion sampling, clock sync, and physical LED blinking. Runs fully locally with no vendor cloud, accounts, or subscriptions.