"How to Use Apple Shortcuts" matching MCP servers:

A local MCP server that lets compatible agents use the official, signed Computer Use broker bundled with the OpenAI ChatGPT macOS app.

Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.

A Model Context Protocol server that enables semantic search and RAG over your Apple Notes, allowing AI assistants like Claude to search and reference your notes during conversations.

Browser use using Typesafe's Jev model

Enables Claude to delegate tasks to OpenAI expert models (GPT-5.3-Codex and GPT-5.5) as subagents, with orchestration patterns for safe and effective use.

Enables coding agents to perform computer use across browsers and native Windows apps by observing the screen, reducing it to a finite list of executable candidates, and letting a small decision model choose one action before input is sent and the result verified. It also returns per-goal outcomes, uncertainty handoffs, and run journals so the calling agent can recover from failures.

Enables Codex to use an authenticated ChatGPT Web session as a reasoning and coding backend through isolated browser sessions, without granting ChatGPT direct workspace access.

A lightweight, zero-dependency Python MCP server that exposes a single do_everything tool. Any AI agent that supports MCP can use it to offload all language-model work to a local OpenAI-compatible endpoint, reducing cost on the agent's primary LLM.

A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Enables ChatGPT web to use local tools like file reading, command execution, and patch application through an MCP server over OpenAI Secure MCP Tunnel.

Enables routing tasks to the right specialist agents, assembling the needed context from a layered catalog of agents, skills, knowledge, runbooks, topics, tools, and connectors, while remembering how a business wants work done.

Use your existing Firefox and logged-in tabs, limited to tabs or tab groups you explicitly share.

Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.

Enables coding agents to drive a real Chrome browser to complete natural-language web tasks and return evidence for verification.

Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations

Enables agents to discover, read, and use reusable skills stored in public GitHub repositories.

Enables any MCP client or OpenAI-compatible application to use Meta Muse through a logged-in Chrome session, with tools for chat, attachments, session management, media retrieval, streaming, and tool-call compatibility.

Enables Cursor to drive Google Chrome through the jev-browser-use click loop, with Cursor supplying tasks, typing text, and verifying results while Jev chooses the next click.

Enables direct MCP-based pairing with T3 Code environments, allowing users to manage environments and projects, start and continue turns, and inspect thread history over stdio without requiring T3 Connect or a local turn CLI.