"Finding at least 10 personal assistant Minecraft servers" matching MCP servers:

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

Self-hosted MCP server that aggregates personal health data from Google Health, Oura, and Withings into a single, provider-attributed interface with configurable source of truth preferences.

Enables agents to access local physiological context—Libre glucose, heart-rate, and watch history—with provenance and freshness metadata, so they can recognize when a user seems unusually off.

A Model Context Protocol server for tracking personal health and well-being, offering tools for workout logging, nutrition management, and daily journaling with AI-assisted analysis integration.

Enables MCP clients like Codex and Claude Code to securely read and manage a personal Cronometer account, including food logs, nutrient summaries with missing-data awareness, food search, biometrics, and export analysis.

Provides MCP tools to read and update a local-first personal OS for goals, tasks, habits, food, workouts, and check-ins. Enables assistants to manage daily life data and interact with an evidence-grounded AI coach.

Fetches body composition data (weight, body fat percentage) from the Tanita Health Planet API and exposes it as MCP tools for AI agents like Claude Desktop.

Leverages large language models to analyze users' WeGene genetic testing reports, providing access to report data via custom URI schemes and enabling profile and report management through OAuth authentication and API utilization.

Enables personal trainers to query and summarize client management data—active clients, workouts, physical assessments, retention, check-ins, feedback, and finances—through MCP-compatible AI clients in read-only mode.

Enables users to calculate chronotype-aligned sleep schedules, optimize 90-minute ultradian cycles, determine caffeine cutoffs, and plan light exposure for better recovery and circadian alignment.

Enables personal AI agents and users to reinforce habits, triage decisions, and prevent streak-break abandonment by generating adaptive micro-fallbacks and elastic recommendations.

Enables personal agents to track habits and receive adaptive micro-fallbacks that degrade gracefully when a streak is missed, rather than letting the user abandon it. Surfaces prioritized queues and elastic recommendations through MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Enables chronotype-aligned circadian sleep architecture calculations that optimize 90-minute ultradian cycles, caffeine cutoffs, and light exposure for personalized sleep recovery coaching.

Provides 12 medical tools for symptom checking, lab report explanation, emergency detection, and health advice, emphasizing safety and disclaimers.

An intelligent hospital appointment management system that allows users to add doctors/patients, book appointments, and view medical schedules through both a manual UI and an LLM-powered assistant interface.

Enables AI assistants to access and analyze Fitbit health data (activity, sleep, heart rate, weight, profile) via natural language through the Fitbit Web API.

Enables caregivers to log daily care activities and generate draft notification reports for the elderly, with automatic safety constraints to prevent AI-generated inaccuracies.

Enables MCP clients and LLMs to create, edit, list, and delete arbitrary daily numeric goals, log and correct entries, and retrieve timezone-correct progress, history, and streak status with at-least or at-most targets.

An MCP server that provides an interface to Google's Fitness API, enabling interaction with fitness data through natural language using the Multi-Agent Conversation Protocol.

An MCP server for accessing India's National Digital Health Mission (NDHM) Health ID services, enabling health information management through the NDHM API.