"Control applications in macOS" matching MCP servers:

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

The first open-source MCP server that enables AI to fully control remote macOS systems.

Enables remote control of the Cursor AI agent via chat platforms like GitHub Issues or Telegram, allowing users to start sessions and receive summaries and prompts in a chat thread.

Enables Claude Code to control your actual logged-in Chrome browser through an MV3 extension, perceiving pages as element tables and performing actions such as navigation, clicks, typing, and assertions via CDP.

Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

An MCP server that enables AI applications to access 20+ model providers (including OpenAI, Anthropic, Google) through a unified interface for text and image generation.

Start, observe, and interact with Claude Managed Agents from any MCP client — launch an agent, watch its events, reply, approve the tools it wants to run, and stop it. Runs over stdio, HTTP, or AWS Lambda with pluggable auth.

Browser automation MCP server that enables multiple AI agents to simultaneously control a real Chrome browser using the Vibe extension, supporting local and private automation with logged-in sessions.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

Lets any MCP agent control your signed-in Chrome with full login state, offering normal browser tools and an optional Fast JEV mode for bounded-speed typed decisions on the same profile.

MCP server for BubblyPhone that lets AI assistants make real phone calls, manage AI voice agents, buy phone numbers in 30+ countries, and track billing. Supports 20 tools for full telephony control.

Enables AI agents to control Chrome reliably over MCP, including multi-tab browsing, forms, clicks, keyboard, scrolling, drag, uploads, downloads, dialogs, JavaScript evaluation, and console/network inspection, in headed or headless mode or attached to an existing Chrome instance.

Authenticates with Databricks via OAuth and exposes remote MCP tools from Databricks applications, enabling interaction with Databricks-hosted tools through Claude.

Enables AI agents to control legacy web applications running in Microsoft Edge's IE Mode via MCP, using Selenium WebDriver and IEDriverServer for browser automation.

Two-way MCP bridge between Claude and Codex: send prompts into a live Codex Desktop thread and messages into a running Claude Code session, keeping each conversation in its own app. Native Desktop tasks on Windows and macOS; CLI/app-server mode on Linux and WSL.

Reliable Codex Desktop automation for long tasks with durable async operations, Plan Mode workflows, and retry-safe task submission.

A minimal MCP server that provides business control primitives (finish, pause, resume, rewind, abort) for agent/skill orchestration, persisting actionable facts into structured state files.

Lets any number of concurrent Claude Code sessions drive a Firefox browser through the Browser Control extension by funneling every session's commands over a single shared port via a background daemon and private unix socket. Sessions no longer have to compete for a limited pool of extension ports, and requests stay isolated through per-request correlation ids.

Enables AI clients to control the user's already-open, logged-in browser pages in real time over a local WebSocket channel, without Playwright, Puppeteer, Selenium, or any browser driver. Exposes tools for navigation, semantic page snapshots, clicking, form filling, JavaScript evaluation, screenshots, network monitoring, cookie handling, and tab management via the CDP.

Exposes vLLM capabilities to AI assistants, enabling chat completions, model management, and platform-aware container control with automatic detection of Docker/Podman and GPU availability across Linux, macOS, and Windows.