"How to access iCloud contacts" matching MCP servers:

Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.

Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.

MCP server that gives Claude Code and other MCP clients persistent memory using plain Markdown notes stored on your disk and optionally synced to cloud storage (iCloud, OneDrive, Google Drive, Dropbox).

A codebase ontology and a cited wiki, both kept as Markdown in one folder on your disk. Typed graph answers — what a change affects, how two concepts connect, which wiki lines lack a citation — and every write lands as a Git diff a person reviews.

Provides OpenCode with adaptive long-term memory by storing preferences, lessons, and usage history locally in SQLite, enabling AI to remember and adapt to users through context-based learning.

An MCP server that integrates with the Pylon API, providing 38 tools for user management, contacts, issues, tags, external issue linking, knowledge bases, teams, accounts, attachments, and more.

Provides AI agents with direct filesystem access to an Obsidian vault for note management, task orchestration, context persistence, and git synchronization.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Gives Claude persistent, local context about how you work, your weekly agenda, and shipped work, with automatic work logging and git integration—all stored privately on your machine.

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

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.

An MCP server that gives AI agents a private, durable memory of people, providing a personal people graph in PostgreSQL with tools to search, remember, and connect people, plus imports from LinkedIn, Google Contacts, and WhatsApp, and a browser UI.

Persistent, local memory for AI coding agents that learns how you work, not just what you said. Supports Claude Code, Codex CLI, Cursor, and any MCP client.

MCP server for reading local WeChat data, enabling AI assistants to query chat history, contacts, sessions, and more via MCP tools.

A local-first Python MCP server that turns Gmail, Outlook/Microsoft 365, iCloud Mail, and generic IMAP/SMTP mailboxes into a synchronized, searchable OKF knowledge layer, exposing 38 tools and four resources for mailbox actions, synchronization, retrieval, attachments, and optional semantic search while keeping the provider mailbox authoritative.

Provides AI agents and teams with self-hosted adaptive memory, combining hybrid search and a self-improving neural memory graph to enable precise recall and serendipitous discovery across MCP-compatible clients.

MCP server for the Postern personal context gateway, enabling agents to read and act on data from finance, health, mail, calendar, contacts, and home sources through a unified, cached interface.

An efficient MCP server for Buildin.ai that provides readonly access to search and retrieve full text of pages.

Enables searching and retrieving cancer-genomics projects, cases, and genomic data files — including TCGA, TARGET, and CPTAC — via keyless, open-access metadata tools. Supports filtering by primary site, project, or data category, and can route plain-English questions to the right tool automatically.

Enables AI assistants to access and search your local browsing knowledge graph via MCP resources and tools.