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

Ployz

作者:getployz版本 1.0.0i★ –i在云端运行
注册名称dev.ployz/ployz

安装

概览

作者提供的说明(英文原文)

Deploy apps, databases and previews to your own servers. Run Ployz Cloud from your agent.

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: 开发者工具

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://ployz.dev/mcp

在终端中运行这条命令

claude mcp add --transport http ployz https://ployz.dev/mcp

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": {
    "ployz": {
      "url": "https://ployz.dev/mcp"
    }
  }
}

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": {
    "ployz": {
      "type": "http",
      "url": "https://ployz.dev/mcp"
    }
  }
}

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://ployz.dev/mcp

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 ployz.dev 验证(注册中心会核实域名所有权)

  • … 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“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1384 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1384 个服务器的 68% 更新
  • 基础检查结果等于或优于此分类中其他 1384 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

Ployz 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22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:GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT3天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT15天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-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。

Ployz

Rent a server. Get a cloud.

Preview environments on servers you own. One command from a fresh server to https.

Website · Quick start · Agents · Status · Self-host

Ployz turns Linux servers you rent into a deployment platform. It builds your app, gives it an https address and runs its databases and workers next to it. Every pull request can get its own environment. Start with one server and add more when you need them.

The workflow of the hosted platforms you like, on servers you rent.

Six hosted platforms. Ployz isn't affiliated with any of them.

What's different

  • An environment for every pull request. Each preview runs the pull request's code at its own https address. Copy the database service and the preview gets its own empty database, seeded by your setup command. A database you leave shared gives the preview production data. On merge, production gets the code and the preview's setting changes. The Ployz · ready to merge check lists those changes on the pull request first.
  • Review before you deploy. Edits from the dashboard, the CLI or an agent wait as a draft. You read the diff, then deploy it.
  • The CLI does what the dashboard does. Commands print JSON with --json. A change that would delete a service, a volume or a domain stops until a person approves it. An agent can't approve it.
  • One private network across your servers. Add a server with ployz server add. Your servers share a WireGuard network, and a service runs up to 50 replicas across them. A service with a volume runs on the server that holds its data, one replica by default.
  • Apps that outlive Ployz Cloud. Your apps keep running on your servers if Ployz Cloud is down or goes away. The engine and the dashboard are open source.

Use it with your agent

Paste this into your coding agent.

Set me up for Ployz: https://ployz.dev/agents.md

It installs the CLI and the Ployz skill, signs you in and registers the Ployz MCP tools. From then on it runs the same commands you would.

> Copy production with its own worker, deploy it there, then stage it back.

$ ployz env branch try-worker --copy worker # Made Branch shop/try-worker of production. $ ployz deploy --env try-worker # 2 deployed · across 1 server $ ployz env sync --env try-worker --to # Synced try-worker → shop/production.

The change waits in production for you to review and deploy.

Quick start

You need a Linux server with systemd that you can reach as root over SSH. See the server requirements.

  1. Install the CLI.
   curl -fsSL https://ployz.sh | sh
  1. Sign in to Ployz Cloud.
   ployz login
  1. From your app's directory, point Ployz at your server.
   ployz up --server root@your-server

Ployz installs itself on the server, builds your app and prints its https address.

  1. Deploy on every push, and give each pull request a preview with its own seeded database.
   ployz github connect                # install the Ployz GitHub App

ployz set shop.repository=you/shop # build from GitHub instead of uploads ployz deploy ployz env pr you/shop --on --from production --copy postgres --setup 'shop=pnpm db:seed'

ployz up names the service after your app's directory, here shop. The preview copies a postgres service you've added.

How it works

Each server runs a small Ployz daemon next to Docker. Your servers share a WireGuard network and keep each other up to date. Every server serves https itself through Caddy, so there's no load balancer to rent. The dashboard and the CLI tell your servers what to run. Once deployed, your apps depend on neither. Generated ployz.app addresses use Ployz's DNS. A custom domain with an A record pointing at your servers doesn't.

Status

Can I move a production app? Yes, if the gaps below are fine for you. If you need managed backups and automatic failover today, wait. Ployz is young and changes quickly. Work through the production checklist first.

  • You look after the OS. Ployz doesn't install OS updates.
  • No offsite backups yet. Volume mirrors keep a copy on another server. Dump your databases on a schedule and keep the dumps off your servers, or keep your hosted database.
  • No automatic failover. If a server dies, what ran only there stops. Replicas on other servers keep running.
  • No Docker Compose files. Add each container as its own service.
  • Alerts are email only. Ployz Cloud emails you when a service goes down or crashes.

Soon: offsite backups, automatic rollbacks, and moving a database to a bigger server without downtime.

Pricing

Ployz is free on your own servers, custom domains included. Paid Ployz Cloud plans are coming soon. Your hosting provider bills you for the servers.

Self-hosting the dashboard

Run the dashboard yourself instead of Ployz Cloud. See dashboard/README.md.

How Ployz is built

Agents write most of Ployz. I design the loop they run in, and I answer for what comes out of it.

Every change ships as a small PR. The agent has to prove it by running Ployz the way you would, on real servers. If it can't show me that, it doesn't merge. Low-risk PRs merge once the checks pass. The orchestrator, networking and anything touching your data get a human review first.

When an agent gets something wrong, we turn the mistake into a lint rule or a test. Every mistake makes the system stricter, and that's the part I trust.

Contributing

Bug reports and feature requests go in GitHub Issues.

The repository holds two projects. core/ is the engine, CLI and daemon, in Rust. dashboard/ is Ployz Cloud, in TypeScript. Each README explains how to build it.

License

The engine in core/ is Apache-2.0. The dashboard in dashboard/ is AGPL-3.0.

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