Ployz

dev.ployz由 ployz.dev 发布官方发布者v1.0.0更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行云端与基础设施开发者工具

概览

AI 生成的概览

Ployz Cloud 的 MCP 服务器,让助手把应用、数据库和每个拉取请求的预览环境部署到你自租的 Linux 服务器上。

可以做什么
  • 把应用和服务部署到自己的服务器,自动构建并分配 https 地址
  • 创建和管理环境,包括为每个拉取请求生成带独立种子数据库的预览
  • 在环境之间复制或同步服务与设置,例如从生产到分支再同步回去
  • 把改动暂存为草稿,等人审阅差异后再部署
  • 管理加入同一私有网络的服务器,并让服务跨服务器运行
适用场景
适合自己租用 Linux 服务器、希望获得托管平台式部署、每个拉取请求独立预览环境和数据库服务,并由编码助手驱动、上线前仍需人工审阅的场景。
运行要求
远程 streamable HTTP 端点 ployz.dev,需要 OAuth 登录。需要一台可用 root 通过 SSH 访问、带 systemd 的 Linux 服务器,并在其上运行 Docker。README 中的助手配置还会安装 Ployz CLI 与 skill 并完成登录。
安装前请注意
助手操作的是真实生产基础设施:可以部署、复制和同步环境,共享数据库会让预览拿到生产数据。删除服务、卷或域名的破坏性改动需人工批准,助手无法批准。目前没有异地备份和自动故障转移,服务器费用由你的托管商收取。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Ployz,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/dev.ployz%2Fployz/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

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

README

[Ployz]

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.

[Logos of Vercel, Railway, Fly.io, Render, Netlify and Heroku]
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.

text
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.

text
> 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.

    sh
    curl -fsSL https://ployz.sh | sh
  2. Sign in to Ployz Cloud.

    sh
    ployz login
  3. From your app's directory, point Ployz at your server.

    sh
    ployz up --server root@your-server

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

  4. Deploy on every push, and give each pull request a preview with its own seeded database.

    sh
    ployz github connect                # install the Ployz GitHub Appployz set shop.repository=you/shop  # build from GitHub instead of uploadsployz deployployz 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.

来源:README.md,提交 33e1860

工具

0
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版本历史

1
  1. v1.0.0最新Oct 15, 2026

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