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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Pushary: human-in-the-loop for AI agents

作者:Pushary版本 1.5.2i★ 1i在云端运行
注册名称io.github.Pushary/pushary

安装方法

What it does

Human-in-the-loop for AI agents: ask a person and get approvals or answers by push notification.

  • Connects 在云端运行
  • Account or key Needs Authorization
  • Category 其他

安装

选择你使用的 AI 应用,然后复制设置。

通过 5/5 项检查 · 你的提问会经过开发者的服务器(pushary.com) · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 5 分钟

需要 Pushary: human-in-the-loop for AI agents 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加

  1. 注册并创建 Pushary: human-in-the-loop for AI agents 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Pushary: human-in-the-loop for AI agents 网站 ↗

  2. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  3. 点击“Add” → “Custom” → “Web”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称Pushary: human-in-the-loop for AI agents
    Remote MCP server URL · 地址https://pushary.com/api/mcp/mcp

    在 Request headers 下添加这个名称和值

    Header 名称Authorization
    值Bearer <在这里粘贴你的密钥>

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

    在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add

  4. 在聊天中开启

    +ConnectorsPushary: human-in-the-loop for AI agents

  5. 试一试

    用 Pushary: human-in-the-loop for AI agents 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Pushary: human-in-the-loop for AI agents,或回答中出现 Pushary: human-in-the-loop for AI agents 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Pushary: human-in-the-loop for AI agents

Pushary: human-in-the-loop for AI agents 连接时需要你自己的密钥,但 OpenAI 帮助页面只说明了 OAuth 登录,没有我们能核实的填密钥方式

你可以改用这些方式

A · 使用能连接 Pushary: human-in-the-loop for AI agents 的应用

  • 需要 Pushary: human-in-the-loop for AI agents 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
  • 需要 Pushary: human-in-the-loop for AI agents 的密钥(在开发者网站创建)
  • 需要 Pushary: human-in-the-loop for AI agents 的密钥(在开发者网站创建)
  • 需要 Pushary: human-in-the-loop for AI agents 的密钥(在开发者网站创建)

B · 其他 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code · 约 5 分钟

需要 Pushary: human-in-the-loop for AI agents 的密钥(在开发者网站创建)

  1. 注册并创建 Pushary: human-in-the-loop for AI agents 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Pushary: human-in-the-loop for AI agents 网站 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --transport http --scope user pushary https://pushary.com/api/mcp/mcp --header 'Authorization: Bearer your-value'

    按 Enter 前,把“your-value”改成你的密钥

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Claude Code 中输入 /mcp

    应能看到 Pushary: human-in-the-loop for AI agents 在列表中并显示已连接

  5. 试一试

    用 Pushary: human-in-the-loop for AI agents 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Pushary: human-in-the-loop for AI agents,或回答中出现 Pushary: human-in-the-loop for AI agents 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 5 分钟

需要 Pushary: human-in-the-loop for AI agents 的密钥(在开发者网站创建)

  1. 注册并创建 Pushary: human-in-the-loop for AI agents 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Pushary: human-in-the-loop for AI agents 网站 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 Pushary: human-in-the-loop for AI agents 的设置中,Authorization 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Cursor 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 Pushary: human-in-the-loop for AI agents 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Pushary: human-in-the-loop for AI agents,或回答中出现 Pushary: human-in-the-loop for AI agents 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 5 分钟

需要 Pushary: human-in-the-loop for AI agents 的密钥(在开发者网站创建)

  1. 注册并创建 Pushary: human-in-the-loop for AI agents 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。

    打开 Pushary: human-in-the-loop for AI agents 网站 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 Pushary: human-in-the-loop for AI agents 的设置中,Authorization 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 VS Code 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 Pushary: human-in-the-loop for AI agents 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Pushary: human-in-the-loop for AI agents,或回答中出现 Pushary: human-in-the-loop for AI agents 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://pushary.com/api/mcp/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Pushary: human-in-the-loop for AI agents 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http --scope user pushary https://pushary.com/api/mcp/mcp --header 'Authorization: Bearer your-value'

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "pushary": {
      "url": "https://pushary.com/api/mcp/mcp",
      "headers": {
        "Authorization": "Bearer your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "pushary": {
      "type": "http",
      "url": "https://pushary.com/api/mcp/mcp",
      "headers": {
        "Authorization": "Bearer your-value"
      }
    }
  }
}

需要你填写的值

  • Authorization 机密 必填 HTTP header
    Bearer (format pk_xxx.xxx, from pushary.com)

说明仍为英文原文。

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。

一览

每周下载量i
不在 npm/PyPI 上
连接方式
在云端运行
传输方式
streamable-http, sse
最新版本i
1.5.2
分类i
其他
发布到注册中心i
2026年10月25日
代码最后更新i
2026年11月7日
作者
Pushary
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月12日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • schedule_reminder

    Schedule, list, retrieve or cancel a personal Pushary reminder for the authenticated user. Scheduled reminders can arrive after the agent exits. One-time only; up to 30 days away, 25 pending per user/site. Scheduling requires body and either inMinutes or at with an explicit UTC o

  • send_notification

    Send a notification to connected devices for a requested update or a meaningful unattended result, such as a finished task. Delivery follows the account policy and optional recipient filters. context adds a detail page. context.askQuestion is kept for older clients; ask questions

  • ask_user

    Request an unresolved decision or missing input from the user through Pushary. Supports confirm, select and input questions. Delivery and waiting follow the account policy; a call waits at most 48 seconds and may return immediately. Returns the question state, answer when availab

  • propose_scope

    Request agreement on an unresolved or user-requested boundary for this session. Sends a real scope question and returns ratified, answered, contract and enforcement information. Only supported hooks can enforce file paths on path-bearing tool calls; promises are recorded but not

  • wait_for_answer

    Read the answer or current state of an existing Pushary question by its correlationId. Waits up to timeoutMs, capped at 48 seconds; a poll that ends with status pending is not an answer, so keep waiting. Returns answered, the answer when available, status and handoff information.

  • cancel_question

    Retract a pending question that is no longer needed or is moving to the current client. Returns cancelled:true only when a pending question was removed. False may mean it was already answered, expired, missing or unavailable. An unavailable state includes handoffAction:stop becau

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15日

  • ✓ 通过

    作者与仓库一致

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

  • ✓ 通过

    仍在维护

    代码最后更新于8天前

  • ✓ 通过

    有许可证

    使用 MIT

  • ✓ 通过

    端点有响应

    在 331 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 6 个工具描述,未发现针对 AI 的隐藏指令

我们检查什么 → · JSON

作者:申请重新检查或报告信息错误

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

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此处内容由用户撰写,不代表 PopNx 团队。

登录后发帖

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与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 19883 个服务器的 86%
  • 发布到注册中心的时间比此分类中其他 19883 个服务器的 67% 更新
  • 基础检查结果等于或优于此分类中其他 19883 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

Pushary: human-in-the-loop for AI agents 安全吗?

它在 5 项适用的基础检查中通过了 5 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?

你需要填写:Authorization

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8天前,最新版本(1.5.2)于21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,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。

有什么可以替代它?

同一分类中有:World Monitor, openstatus, Oh My Posh Validator, Strata, Jitsu

功能相近的其他选择

同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。

如何看卡片:↓ 每周下载量i★ 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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者:koala73广泛使用★ 9.1万昨天更新

在云端运行✓ 服务方 · worldmonitor.app

openstatus

Manage monitors, status pages, incidents and maintenances in your openstatus workspace.

作者:openstatusHQ广泛使用★ 92652个月前更新

在云端运行✓ 服务方 · openstatus.dev

Oh My Posh Validator

Validate oh-my-posh configurations and segment snippets against the official schema.

作者:JanDeDobbeleer广泛使用★ 2.4万 整个仓库的星标26天前更新

在云端运行✓ 服务方 · ohmyposh.dev

Strata

MCP server for progressive tool usage at any scale (see https://klavis.ai)

作者:Klavis-AI正在增长★ 582714个月前更新

在云端运行仓库已归档✓ klavis.ai

Jitsu

Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.

作者:jitsucom广泛使用★ 51354个月前更新

在云端运行✓ 服务方 · jitsu.com
  • World Monitor — 在云端运行,无需安装 · 不需要密钥
  • openstatus — 在云端运行,无需安装 · 不需要密钥
  • Oh My Posh Validator — 在云端运行,无需安装 · 不需要密钥
  • Strata — 在云端运行,无需安装 · 不需要密钥
  • Jitsu — 在云端运行,无需安装 · 不需要密钥

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。

Pushary: human-in-the-loop for AI agents

Push notifications and human-in-the-loop for AI agents. Approve from your phone.

Get started &middot; Skills directory &middot; Report a bug

Start here

[Try an approval without signing up](https://pushary.com/try?utm_source=github&utm_medium=oss-skill&utm_campaign=pushary-skill&utm_content=demo) → connect an open phone page → approve or decline → see the agent continue or stop. This browser demo uses polling and temporary state, not real push delivery or the production ledger.

What you want to buildStart with
Notifications and questions for a coding agentThe setup instructions below
An enforced tool approval in the Vercel AI SDKRunnable AI SDK example
A LangGraph workflow that branches on a human decisionRunnable LangGraph example
Another agent frameworkAll Pushary integrations
When an agent should stop and ask a person, and how to add that step in any frameworkThe pushary-human-in-the-loop skill

The skill and adapters are MIT-licensed. Hosted phone delivery requires a Pushary account; embedding approvals for your own users requires Partner access. The two framework examples also run locally with simulated answers and no credentials.

If Pushary helped you, star this repo. Want to help? Public issues and patches are welcome.


Pushary lets your coding agent send task updates and ask you for a decision on your phone. Supported host hooks also enforce approvals before an action runs.

Hosted delivery requires a paid Pushary plan. MCP questions and notifications work with any compatible client; enforced approvals depend on the host integration.

How It Works

AI Agent  ->  MCP Protocol  ->  Pushary API  ->  Push Notification  ->  Your Phone

Pushary is an MCP server that connects your AI coding agent to push notifications. The agent calls Pushary's tools over the Model Context Protocol, and you receive notifications instantly on any device.

Three question types - yes/no confirmations, multiple choice, and free text input. Your agent picks the right one for the situation.

Rich context notifications - agents can include file changes, error details, and suggested next steps in a detail page you see when tapping the notification.

Agent identification - when you run multiple agents, each notification shows which agent is asking so you always know what you're responding to.

Permission hooks - route Claude Code's tool approval prompts through push notifications so you can approve or deny from your phone.


Personal setup: phone first

Run the pairing setup in your agent's terminal:

npx pushary@latest setup

Install Pushary on your phone, scan the QR or open the printed link, compare the fingerprints, and approve. Setup then configures the selected agent's tools, supported hooks and skill. You do not need to copy an API key first. Personal accounts require a paid plan. Existing credentials are reused.

Verify setup:

npx pushary@latest doctor

Ask your agent for one harmless test question. Confirm the intended device receives it and the answer returns to the same task.

For Hermes specifically:

npx pushary@latest setup --agents hermes

This writes the native plugin to ~/.hermes/plugins/pushary and turns it on with hermes plugins enable pushary and hermes config set. Restart Hermes afterward with hermes gateway restart. The plugin provides notification, question, wait, cancel, reminder and scope tools, plus Partner enrollment and customer-question tools. Its parameters use snake_case; use the Hermes skill, not MCP parameter names. The native approval transport preserves Hermes' session and standing approvals.

Mac notch and other answer surfaces

Install Pushary for Mac, sign in with the same personal account and connect your agents from the app. The notch provides confirm, choice, text and question-set controls with keyboard support. Keep the app running for presence and delivery; verify one harmless question there, then phone fallback while away from the Mac.

SurfaceAnswers
MobileConfirm, choice and text in the app. Supported confirm notifications expose lock-screen approve/deny; arbitrary choices and text open the app.
Mac notchQuestions for the signed-in account, including keyboard answering, and Partner customers' questions once they connect the Mac from their phone.
SlackButtons, choice menus and text modals when the integration and recipient are configured.
BrowserDecision-page fallback and browser notifications when permission is enabled.

Delivery follows your settings and presence. push_first uses presence, push_only requests push every time, notify_only keeps decisions in the current client, and terminal_only avoids push. A successful API call alone does not prove a device displayed the request.

Team setup: send a risky step to a lead

On Pushary for Teams, each person runs the same setup and connects their own agents. Their agents' questions go to them. An owner or admin can send a chosen step to someone else with a routing rule in Policies, under Approval routing:

FieldExample
Tool patternBash(git push:*)
Repositoryinfra, or all repositories
Route toThe Admins role, or one person

Claude Code, Codex, Cursor and Gemini CLI shell calls all match a Bash(...) rule, so one rule covers a team that runs several agents. Whoever answers in the phone app, Mac app or dashboard is recorded by name, next to whose agent asked.

What a routing rule doesn't do:

  • It doesn't lock the terminal. If nobody answers in time, the person running the agent can still approve at the agent's own prompt, and that yes isn't recorded.
  • The phone can only deny risky steps such as a force push or rm -r. Approve those in the dashboard.
  • It needs a second person. Routing starts once someone else joins the workspace.

Team is $59 a month for 5 people, plus $12 for each extra person. How a routing rule works, step by step.

Partner setup: your own customers

Personal pairing connects you, the operator. Partner integrations enroll each of your application's customers through a scoped connection link and address decisions using your stable customer ID. Customers use the mobile enrollment flow; do not route their approvals to your personal Mac inbox or share an operator API key.

Start with the Partner integration guide, then a Mastra agent example, AI SDK example or LangGraph example. Tools choose confirm, choice or text. Approving an action and supplying an answer are different operations; a text answer saying “yes” is not permission to execute another tool.

Manual fallback

For a client that needs manual MCP configuration, obtain your key in the Pushary dashboard and configure:

{

"mcpServers": { "pushary": { "url": "https://pushary.com/api/mcp/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }

Keep the key private. Install the skill with npx skills add Pushary/pushary-skill if the client supports skills.sh. Manual MCP provides cooperative questions and notifications; enforced approvals require the supported host hooks/runtime integration.

Claude Code users can alternatively install this repository as a plugin:

/plugin marketplace add Pushary/pushary-skill

/plugin install pushary

That path reads PUSHARY_API_KEY from the environment. Pick one installation path: installing the plugin on top of CLI-installed Claude hooks can run hooks twice. Use npx pushary@latest clean before switching paths.

The plugin starts each hook through npx, which is too slow for the hook that streams live reply previews to your phone, so the plugin leaves that hook out. For live previews, install with npx pushary@latest setup instead. Setup installs every hook as a local command.


Setup: Lovable

Lovable is a hosted app builder, so there is no local install step (npx skills add does not apply). You connect the MCP server in Lovable's UI, then paste the skill into Lovable's Knowledge so the agent uses it on its own.

1. Connect the MCP server. In Lovable, go to Settings -> Connectors -> Personal connectors (paid Lovable plans), click New MCP server, set the URL to https://pushary.com/api/mcp/mcp, choose Bearer token, and paste your API key (pk_xxx.xxx).

2. Add the skill to Knowledge. Lovable cannot install skills via npx, so paste the skill guidance into Settings -> Knowledge. Use the condensed SKILL-LITE.md as the source. This makes the Lovable agent notify you when a build finishes and ask before risky changes, without you prompting each time.

Lovable gets notifications and questions only (no enforced gate, since it has no permission hook). Full walkthrough: Lovable guide.


Setup: Claude Chat and Cowork

For Claude Chat or Claude Code, use Pushary for Claude. In Chat, open Customize > Plugins > Add > Add marketplace, add https://github.com/Pushary/claude-plugin, and install Pushary for Claude. In Claude Code, run /plugin marketplace add Pushary/claude-plugin, then /plugin install pushary@pushary-claude-plugin.

For Cowork, the existing Pushary for Cowork plugin remains available. Add https://github.com/Pushary/cowork-plugin as the marketplace and install Pushary for Cowork. Cowork also supports standing instructions under Settings > Cowork. Its existing plugin, marketplace, and pushary-cowork skill identifiers are preserved.

Both bundles use the public OAuth connector and the same shared skill. Connect Pushary from the plugin's Connectors tab in Chat or Cowo

只显示了开头部分;其余内容请在仓库中阅读