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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voicehook

作者:voicehook-ai版本 1.0.0i★ –i在云端运行
注册名称io.github.voicehook-ai/voicehook

安装

概览

作者提供的说明(英文原文)

Talk with your agents. A voice call in the browser that your agent can start or join.

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: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 网页与浏览器

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://voicehook.ai/mcp?utm_source=mcpregistry&utm_campaign=d11-registry

在终端中运行这条命令

claude mcp add --transport http voicehook 'https://voicehook.ai/mcp?utm_source=mcpregistry&utm_campaign=d11-registry'

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": {
    "voicehook": {
      "url": "https://voicehook.ai/mcp?utm_source=mcpregistry&utm_campaign=d11-registry"
    }
  }
}

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": {
    "voicehook": {
      "type": "http",
      "url": "https://voicehook.ai/mcp?utm_source=mcpregistry&utm_campaign=d11-registry"
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://voicehook.ai/mcp?utm_source=mcpregistry&utm_campaign=d11-registry

菜单名称可能因套餐和版本不同而略有差异。

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

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

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 voicehook-ai 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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“网页与浏览器”中的其他服务器比较i

  • 星标数多于此分类中其他 879 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 879 个服务器的 62% 更新
  • 基础检查结果等于或优于此分类中其他 879 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

voicehook 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?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于20天前进入注册中心。

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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser

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

Browser Use

作者:browser-use

Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

电脑或云端★ 120,087MIT17天前更新
安装

Chrome DevTools MCP

作者:ChromeDevTools

MCP server for Chrome DevTools

在你的电脑上运行★ 54,821Apache-2.015天前更新
安装

MCP Server Browser

作者:bytedance

MCP server for browser use access

在你的电脑上运行★ 39,550Apache-2.014个月前更新
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。

voicehook-agent

Talk to your coding agents instead of reading their output.

voicehook.ai is a voice call in the browser. Hit "invite agent", hand the link to Claude Code, Codex or opencode, and talk to it while it keeps working. Delta, the voice in the call, answers from the status board and FAQ your agent keeps up to date, so you hear what is going on without opening a terminal.

This repo holds the agent side: the voicehook-join Claude Code plugin and the voicehook-agent CLI that lets any agent with a shell join a call.

Three ways to connect

Your agentHow to connect
Claude CodePlugin, two commands (see below). Details
claude.ai / Claude DesktopCustom connector https://voicehook.ai/mcp (Settings, Connectors, Add custom connector; no key). Guide
Any agent with a shellQuickstart A (HTTPS bridge, nothing to install) or the CLI

Which one? MCP (connector or plugin) is the entry: nothing to install, one agent per call, the only path with create_call, cards and decisions. The CLI is the pro tool for multi-agent work on one machine. The HTTPS bridge is the protocol underneath and the fallback.

MCP/bridge = one agent in the call; activity lines are only what that agent writes by hand. For several agents/sessions on one machine working on one call, use the voicehook-agent CLI (pro): its multi-session relay + Claude Code hook feed the live activity log, status and decisions of ALL local sessions into the call automatically. MCP/bridge run on the server and cannot see the user's local sessions.

pathroleuse it when
MCP (voicehook.ai/mcp)entry + distributiona single agent in a call, cloud/sandbox sessions, starting a call yourself
CLI (voicehook-agent)pro tool for multi-agent workseveral agents/sessions on one machine in one call, live activity log of all sessions
Bridge (/api/bridge/*)protocol underneath + fallbackno MCP client and no CLI

Details and install without git: docs/CLI.md.

In Claude Code:

/plugin marketplace add voicehook-ai/voicehook-agent

/plugin install voicehook-join@voicehook

Once connected, paste an invite link (https://voicehook.ai/r/ ?invite= ) into your agent and it joins the call.

MCP tools (connector and plugin):

toolwhat it does
create_callstart a new call for your user (main agent only: never delegate create_call to a subagent, the link would stay in its thread): human_url plus share_text (pass it on verbatim: open the link in a normal browser, not an app's built-in browser); hard rule: show share_text as text first, then join again until connected, then the next loop
joinjoin a call from an invite link with your chip label; greets for you in the call language (greet, default on); returns the session, the call language and the call context (first_actions); before the person opened a create_call link it waits (up to 200 s in Claude clients, else 50 s) and returns waiting_for_human with next_action: call it again at once until it returns the session, never end the turn before; a local Claude Code also gets local_cli_hint (this CLI keeps it in the call)
nextwait up to 50 s for the next turn (user, decision, operator, context, ended); call it at least every 10 to 15 s, one loop per agent; after a pause it brings missed
saythe voicebot speaks the text
statusstatus board (never spoken) the voicebot answers from, optional chip emoji
showa card on the call page (text, code, link or image), never spoken; an image card REQUIRES context (all information in the image as text, invisible on the page: the voicebot cannot see images)
activityone line of 3 to 8 words for the activity feed, on every step
decidea question for the Decision Board (yes/no or up to 3 options); the answer comes back in next
leaveleave the call

On 5xx, 503 or a network error the agent simply calls the tool again after 2 s; the session stays valid. Several agents in one call: rules.

CLI quickstart

uvx voicehook-agent join 'https://voicehook.ai/r/<slug>?invite=<code>' --name <your-own-name> --model <your-model-name>
  • --name and --model are mandatory: a display name the agent picks for itself and the exact model it runs on. Name your real model and vendor, never "Claude" unless you are Claude.
  • Use the full invite link, including ?invite= .
  • stdout prints what the user and the voicebot say; every line on stdin is spoken.

In a call, keep voicehook-agent listen running in your harness's background mode (Claude Code: run_in_background, never &/nohup): it exits on the first event that needs you, which wakes you; start it again after handling it. Since 0.21.4 the Stop hook (voicehook-agent hook install) blocks a turn end while your join is connected and nobody listens (listen guard). Since 0.21.5 the join itself holds your presence and spools every event durably while you work (event spool): listen picks them up with a cursor, nothing is lost, and the Stop hook warns on unread events. When you wait for the human, ALWAYS decide, never only a status (0.21.6: status --waiting ... --question ... shows "wartet auf dich" together with the decision). In a call: answer every utterance first (say), hand work longer than 2 tool calls to background agents, keep turns short; since 0.21.7 new utterances reach you mid-turn through the PostToolUse hook.

Every decision and every status entry MUST carry hidden background for the voicebot (0.21.4): --context "..." plus the 3 most likely follow-up questions with prepared answers, --faq "Frage::Antwort" (no answer yet: say who works on it and the ETA, "In Arbeit bei , Ergebnis ca. 10 Min"). Activity lines may carry them too. On status they attach to the item they follow; without them the CLI prints a hint (see docs/CLI.md).

For a loop without polling (say, next, status, leave), the status board, the activity hook and all flags see docs/CLI.md. Since 0.21.0: decide --context "..." gives Delta the background of a question, ui large decisions / ui layout thirds / ui focus voicehook control the call page of the humans, status|activity --project NAME tags your project (docs/CLI.md).

Since 0.23.0 the agent in the call can give Delta standing rules and facts while the call runs, so he answers more himself: voicehook-agent delta-rule add "Sprich den Kunden mit Sie an", voicehook-agent delta-note add "Der Release ist am Freitag", ... list, ... rm . Silent, from his next turn, max 20 rules and 30 facts of 300 characters.

Right after join (0.21.4) the CLI lists the other Claude Code / Codex sessions running on this machine and suggests asking the human "Soll ich die anderen N Sessions hier einbinden, damit sie ihren Status in den Call bringen?"; on yes the agent runs the printed setup commands. Agents on MCP or the bridge cannot see local sessions: they say it works in principle with the CLI installed: uv tool install voicehook-agent && voicehook-agent hook install.

Several Claude Code sessions on one machine (0.15.0): run voicehook-agent hook install once; while one session is in a call, every other session reports turn goal, PR, deploy and errors under its own name in the call's activity feed (multi-session relay). Since 0.16.0 such a helper session can also ask the human (decide, answer via relay-next or decide --wait) and keep its own status board (status --doing ...) (helper sessions).

OpenAI Codex CLI (0.20.0): voicehook-agent hook install --agent codex writes the same automation into ~/.codex (hooks.json, notify, a local MCP server with status, decide, next, activity; backup first), then trust the hooks once with /hooks in Codex (other coding agents).

Watcher (0.32.0): while a call is active, join and helper-import start ONE detached voicehook-agent watch per machine. It keeps every local session's board entry current with one whole German sentence (cheapest model, claude -p --model haiku, hourly token cap, else a fixed sentence), adds an activity line on state changes and removes decisions of sessions that went on. Interval 1/5/10/15 min (call page > --interval > 15); it ends with the call; VOICEHOOK_WATCH=0 turns it off; only sessions of the own call are covered (VOICEHOOK_WATCH_SCOPE=machine = every local session) (watcher).

Session Watcher (0.34.0, named so since 0.35.0): voicehook-agent connect once (approve the code in the browser), then voicehook-agent caretaker install: the watcher is active in every call of yours automatically, no per-call start and no keys to create (caretaker).

Pricing

About 10 minutes free every day. Prepaid from 10 EUR, no subscription.

Documentation

DocumentContents
docs/CLI.mdInstall, agent loop commands, status board and FAQ, speaking style, activity feed and hooks, shapes, self-update, Claude Code plugin, skill registration
docs/PROTOCOL.mdstdin/stdout protocol, data-channel topics, relay flags, HTTPS bridge, wake marker, server behaviour, environment variables
docs/DEVELOPMENT.mdCI jobs, plugin releases, CLI releases, PyPI setup
OPERATOR-PROTOCOL.mdServer-side operator protocol (voicehook.ai)

Development, CI and releases

CI runs tests, ruff, plugin validation, a secret scan and a skill drift check on every PR. Release tags, the plugin release checklist and the PyPI setup are in docs/DEVELOPMENT.md.

License

MIT, see LICENSE.


Made in Germany, hosted in Nuremberg (Hetzner). No cookies, no tracking, no call recordings. Nothing you or your agent say is stored. [Privacy p

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