原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Hunch

作者:PrithviSeran版本 0.6.6i★ –i在你的电脑上运行
注册名称io.github.PrithviSeran/hunch

安装

概览

作者提供的说明(英文原文)

Focus-free macOS control for AI agents: drive your real Mac apps in the background, no stolen focus.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "hunch": {
      "command": "uvx",
      "args": [
        "hunch-sdk"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add hunch -- uvx hunch-sdk

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "hunch": {
      "command": "uvx",
      "args": [
        "hunch-sdk"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "hunch": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "hunch-sdk"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 PrithviSeran 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32537 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32537 个服务器的 41% 更新
  • 基础检查结果等于或优于此分类中其他 32537 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Hunch 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.6.6)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, TF Rooms

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

TF Rooms

作者:tfrooms.com

Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Hunch

Drive your Mac with any LLM: focus-free, in the background, over [MCP](https://modelcontextprotocol.io).

Hunch is an MCP server that gives an LLM agent hands on *your* Mac: your installed apps, your logged-in sessions, your files, without taking over your screen. While you keep working in the foreground, an agent can read a background app's UI, click its buttons, drive Mail or Music by AppleScript, fill a web form, or move files. It works on real native apps, not just a browser.

Works best with modern LLMs. Hunch ships a detailed playbook as MCP server instructions;

capable tool-using models (Claude Sonnet/Opus-class and up) follow it well. Smaller models may

pick clumsier paths (screenshots and keystrokes instead of tree reads and clicks).

The four layers

Hunch always prefers the most direct layer. It's faster, more reliable, and (except the last) never touches your screen:

LayerToolsWhat it's for
OS-APItrash file_op open_file clipboard_* launch_app …files, clipboard, app lifecycle, via direct API calls
AppleScriptapplescriptscriptable apps: Mail, Messages, Notes, Calendar, Music, Finder, Safari …
Webweb_open web_snapshot web_act web_login …Safari through the bundled extension, or Chromium/Electron through CDP, driven in the background
Accessibilitysnapshot actany native app's UI: read the tree, click/select/type by reference

A gated last resort (screenshot + coordinate clicks/keystrokes) exists for apps whose accessibility tree is truly empty. It steals focus, so it asks you first.

For focus-free visual work in Safari, open a dedicated extension-owned window with web_open(..., app="Safari", new_window=True). web_screenshot captures that background window, and web_act can use the returned pixel coordinates without moving the shared mouse, keyboard, or foreground window. The extension remains necessary: it owns the isolated Safari window and dispatches renderer-local actions that a physical screen capture cannot.

How it works (no server, no cloud)

"MCP server" undersells how local this is. hunch serve is a plain Python process that your MCP host (Claude Desktop, Cursor, …) spawns as a child process and talks to over JSON-RPC on stdin/stdout (MCP's stdio transport). There is no HTTP endpoint, no port Hunch listens on, no daemon, and no telemetry. When your host quits, Hunch is gone.

The tools are direct macOS API calls in-process: the Accessibility framework via pyobjc, osascript for AppleScript, OS APIs for files/clipboard, a local WebSocket to Chromium's DevTools port, and the signed local Safari extension bridge. The optional Safari companion uses an authenticated loopback connection solely to relay typed commands to Apple's sandboxed extension. Browsing traffic still comes from the selected browser. What the model sees is whatever the tools return through your host; nothing else leaves the machine.

Benchmarks

Hunch is measured against other macOS computer-use agents on a real, logged-in Mac in mac-agent-bench — *same brain, different hands*: identical claude -p per task, only the MCP adapter differs. It scores task success with programmatic checkers and disturbance: how much the agent hijacks your cursor and foreground while it works.

Across 5 complex multi-step tasks (n=3):

ToolSuccessCostDisturbance (focus·cursor)Timeouts
Hunch15/15$1.521·00
Peekaboo13/15$14.6022·162
cua-driver15/15$17.7022·00

Perfect reliability, ~10x cheaper, ~5–10x faster, and it essentially never touches your screen (0 cursor moves, 1 focus switch across 15 trials). Full methodology and per-task tables are in the benchmark repo.

Install

macOS 13+. From PyPI (the distribution is hunch-sdk; the import and CLI are hunch):

pipx install hunch-sdk          # or: pip install hunch-sdk

pip install 'hunch-sdk[subscription]' # + the agent loop on Claude (provider="claude") pip install --pre 'hunch-sdk[codex]' # + the agent loop on OpenAI Codex (provider="codex")

Or via Homebrew — best if you don't manage Python environments; it bundles an isolated Python at a stable path, which makes the macOS permission grants the most predictable:

brew install prithviseran/hunch/hunch

Then, one time:

hunch setup      # walk the macOS permission grants

hunch doctor # verify every layer; fix anything it flags hunch connect claude-desktop # or: claude-code, cursor

Restart your MCP host and ask it to *"use hunch to …"*.

The permissions, honestly

macOS trust attaches to the app that runs the server, meaning your MCP host (Claude Desktop, Cursor, your terminal), not "hunch" itself. hunch setup walks you through it:

  • Accessibility (required): lets Hunch read app UIs and click focus-free. Grant it to your MCP host app in System Settings → Privacy & Security → Accessibility.
  • Automation (per-app, automatic): the first time Hunch scripts an app, macOS shows a one-time "allow control" prompt.
  • Screen Recording (optional): only for the screenshot/vision fallback.

hunch doctor reports what's granted. Note: its Accessibility line reflects the *terminal* you ran it from; the server inherits the *host's* grant.

Python SDK (library use)

Hunch is also an importable library — the same focus-free primitives as the MCP tools, driven deterministically from your own Python (a cron job, a test harness, your own agent loop), no LLM required. The distribution is hunch-sdk; the import is hunch:

from hunch import Hunch

mac = Hunch() # your machine, your logged-in apps print(mac.snapshot("Mail")) # accessibility tree, focus-free mac.act([{"action": "click", "ref": "e12"}]) mac.web.open(url="https://github.com") # real persistent Chrome profile over CDP mac.web.open(url="https://github.com", app="Safari") # user's Safari session via extension print(mac.web.snapshot()) mac.files.trash(["~/Downloads/old.zip"]) # reversible delete, no Finder mac.applescript('tell application "Music" to play')

Constructor knobs: app (initial snapshot target), confirm="dialog"|"off" (see below), check_permissions (Accessibility check up front), simultaneous (never touch the foreground/cursor/keyboard), cdp_port.

To reveal hover menus or tooltips in a Chromium/Electron CDP session, use a ref from the latest web_snapshot:

mac.web.act([{"action": "hover", "ref": "e12"}], detailed=True)

print(mac.web.snapshot()) # verify the revealed UI and get fresh refs before clicking

The MCP equivalent is web_act with the same action. Hover sends a renderer-local mouse-move event, without a click, app activation, or movement of the Mac cursor. Its receipt is performed_unverified unless an explicit postcondition verifies the requested field. Safari returns unsupported (a detailed call returns blocked with zero attempted actions); native act does not advertise hover.

An element's own identity, where the page keeps one (Chromium/Electron CDP only):

mac.web.identity("e12")

{"framework": "react", "keys": ["2026-11-18", "staff_member_1", "7282"],

"attrs": {"data-testid": "draggable-event"}}

keys are the framework's list keys from the root down to the element (React, and Vue where a build exposes vnodes), which apps mostly set to their records' ids and which survive the re-renders that replace DOM nodes; attrs are the element's id, name, data-testid and href as written. It reads in the page's main world and sends no input. Nothing is interpreted: a list position (0, 1) and a record id come back alike.

  • Permissions: for library use it's *whatever runs your script* — your terminal or IDE — that needs Accessibility (the MCP server instead uses the host app's grant). The constructor checks and raises AccessibilityNotGranted with instructions. screenshot() additionally needs Screen Recording.
  • Safety gates default ON: the same one-click "Go ahead" dialogs and ~/.hunch/config.json gates as the MCP server. Hunch(confirm="off") auto-approves for that instance only — for unattended scripts, with the same caveats as auto_approve_all.
  • Errors: methods return status strings (check for REFUSED); the SDK raises only ApprovalDenied (user declined a dialog), AccessibilityNotGranted, WebNotOpen (.web before .web.open()), StaleRef (re-snapshot), and HunchError when a CDP browser can't be opened (web.restart() recovers a stale instance).
  • Credentials: mac.web.fill_login(service) / fill_secret(service, ref) type Keychain values straight into the page and never return them; domain binding is enforced.
  • Coexistence: the SDK and the MCP server share the CDP port (9337) and the persistent Hunch browser profile — whichever opened it first is reused, but web.restart()/web.login() kill whatever holds the port.

Runnable scripts live in examples/.

Agent loop (mac.agent)

The instance SDK gives you deterministic primitives. The agent loop puts an LLM in the driver's seat: you hand it a task in plain English and it drives the Mac through those same primitives — on *your* machine with *your* logged-in apps. Pick your provider — Anthropic Claude or OpenAI Codex — once at construction; everything after is provider-agnostic. It's an optional extra (keeps the base install free of the model SDKs):

pip install 'hunch-sdk[subscription]'                    # Claude

or, for Codex (the SDK is beta): pip install --pre 'hunch-sdk[codex]'

python -c 'import hunch; hunch.provider("claude").login()' # sign-in (browser OAuth) — no API key

from hunch import Hunch

mac = Hunch(provider="claude") # or Hunch(provider="codex") result = mac.agent.run("reply to Sarah's latest email, but don't send it") print(result.text) # the model's final summary print(result.turns, result.usage)

Signing in

Auth is an explicit, provider-scoped surface — nothing is scavenged silently. You choose the vendor once, then the same prefix-free methods act on it:

mac = Hunch(provider="codex")       # or "claude" (the default)

mac.login() # codex: ChatGPT browser sign-in · claude: Claude sign-in mac.status() # -> AuthStatus(provider, logged_in, method, email, plan) mac.logout() mac.agent.run(task) # runs on the configured provider

Or drive auth standalone, without a Mac instance (e.g. an onboarding script):

import hunch

st = hunch.provider("codex").status() if not st.logged_in: hunch.provider("codex").login() # browser OAuth (blocks until done)

headless/remote box instead:

h = hunch.provider("codex").device_login()

print(h.verification_url, h.user_code); h.wait()

ProviderSign in withCost
claudemac.login() / hunch.provider("claude").login() — the same browser OAuth Claude Code uses. Already signed into Claude Code on this Mac? You're done; Hunch reuses that.your Claude plan (no per-token cost)
codexmac.login() / codex login — a ChatGPT/Codex browser sign-in.your ChatGPT/Codex plan

Both run on a subscription/login — metered API keys are intentionally not exposed. With no valid sign-in, run() surfaces an error tha

只显示了开头部分;其余内容请在仓库中阅读

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