"A server for pulling health and fitness data from Apple Health, Garmin, and Whoop" matching MCP servers:

Enables querying a local health knowledge base with hybrid RAG (vector + FTS5) and exploring backlinks between notes.

Theta Health MCP is a HIPAA-complaint intelligent memory layer for your health data — ready to plug into Cursor, Claude, and any AI agent. Query health data and ask health questions directly in your dev workflow.

MCP server for Obsidian vault structural health checks. Find broken wikilinks, orphaned notes, and missing frontmatter, with optional auto-repair.

MCP server for Obsidian vault structural health checks, enabling users to find broken wikilinks, orphaned notes, and missing frontmatter, with auto-repair capabilities.

Metis — an open-source (AGPL-3.0), local-first MCP server / research companion. It answers from the user's own indexed PDF library with page-level citations (and flags what it can't find rather than inventing), keeps all data on the user's machine, and routes requests to 34 specialist agents.

Provides compassionate mental health support tools including mood tracking, emotional check-ins, and personalized coping strategies. Stores mood logs and journal entries locally while offering empathetic guidance for stress management and emotional well-being.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

The Apple Books MCP server bridges the gap between your personal reading journey and AI capabilities by transforming static book collections into interactive knowledge repositories.

Enables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.

A simple MCP server that recalls and saves memories from and to Apple Notes.

An MCP server for Apple Notes that enables semantic search and full CRUD operations through natural language.

Enables semantic search, connection discovery, and grounded synthesis across your Apple Notes using on-device embeddings and optional LLM synthesis, with direct SQLite access for fast indexing.

MCP server for macOS that enables creating, reading, and searching Apple Notes programmatically through tools like find, get by title or ID, and create.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables AI agents to search, read, create, and append Apple Notes using MCP tools, supporting bulk folder reads and tag search.

Allows the AI to read from your local Apple Notes database (macOS only)

Enables AI clients to read and write local Apple Books library, collections, and annotations. Supports searching, exporting, and modifying books and highlights via MCP tools.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Enables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.