GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Control Plane (controlplane.com): deploy and operate workloads across AWS, GCP, Azure, and more.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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:
https://mcp.cpln.io/mcp在终端中运行这条命令
claude mcp add --transport http control-plane https://mcp.cpln.io/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"control-plane": {
"url": "https://mcp.cpln.io/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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"control-plane": {
"type": "http",
"url": "https://mcp.cpln.io/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:
https://mcp.cpln.io/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。
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。
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
发布者(cpln.io)不是仓库所有者(controlplane-com);可能是其他人代为上架的
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
它在 1 项适用的基础检查中通过了 0 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。
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。
GitHub 仓库最后更新于–,最新版本(1.0.2)于4个月前进入注册中心。
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。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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。
Run containerized workloads across AWS, GCP, Azure, OCI, and your own hardware under one API. It loads Control Plane's domain knowledge, production guardrails, and live MCP tools into Claude Code, Codex, and Antigravity CLI so your assistant can deploy, troubleshoot, secure, and migrate workloads with verified cpln commands.
/plugin marketplace add https://github.com/controlplane-com/ai-plugin.git
/plugin install cpln@controlplane /reload-plugins
Update with /plugin marketplace update controlplane then /reload-plugins (third-party marketplaces don't auto-update unless you enable it in /plugin → Marketplaces).
Alternatively, install from Anthropic's community plugin marketplace, where every listing has passed Anthropic's review:
/plugin marketplace add anthropics/claude-plugins-community
/plugin install cpln@claude-community /reload-plugins
codex plugin marketplace add https://github.com/controlplane-com/ai-plugin.git
Start Codex, open /plugins, and install cpln. The MCP handshake supplies the core rules. Local installations also include optional session hooks, which must be reviewed and trusted in Codex before they run.
Update with codex plugin marketplace upgrade controlplane, then restart Codex.
Install the plugin with Antigravity CLI (agy):
agy plugin install https://github.com/controlplane-com/ai-plugin/plugins/cpln
Point any other MCP client at the hosted server:
{
"mcpServers": { "cpln": { "type": "http", "url": "https://mcp.cpln.io/mcp" } } }
The bare URL serves the default core tool set. A client that loads tools on demand can add ?toolsets=full for every tool.
MCP uses OAuth 2.1 + PKCE. Sign in to let the assistant act on your Control Plane organizations — you choose which orgs it may operate on, and the token is scoped to those orgs and enforced server-side on every call. Sign in again to change the grant. Treat MCP access as production access to the orgs you grant. How to sign in:
/mcp, select cpln, sign in (or claude mcp login cpln).codex mcp login cpln./mcp, select cpln, authenticate.Optional — only for the cpln CLI workflows some skills generate (CI/CD, Terraform, Pulumi). See .env.example.
| Variable | Purpose |
|---|---|
CPLN_TOKEN | Service-account token for cpln CLI calls (sensitive). |
CPLN_ORG | Default organization. |
CPLN_GVC | Default GVC. |
CPLN_PROFILE | Local cpln CLI profile. |
Ask in natural language — the assistant routes to the right skill or agent:
payments-api workload in production keeps restarting."app.example.com in front of my web workload with auto-TLS."analytics workload credential-free read access to S3 bucket prod-event-logs — no IAM keys."kustomization.yaml to Control Plane and apply it to staging after I confirm."Two workflows also have slash commands in Claude Code — /cpln:troubleshoot WORKLOAD and /cpln:migrate-k8s FILE; in other clients, ask for the same workflows by name.
Report vulnerabilities per SECURITY.md.
The plugin's one declared connector is the hosted MCP server at https://mcp.cpln.io/mcp, which acts only on the orgs you grant when you sign in, with your own permissions.
When a task needs it, the skills also run these tools on your machine, each with your own credentials:
| Tool | Sends data to |
|---|---|
cpln CLI | The Control Plane API (api.cpln.io), your org's image registry (ORG.registry.cpln.io), and the metrics endpoint (metrics.cpln.io), using your CLI profile or CPLN_TOKEN |
docker | The image registries you push to and pull from |
kubectl, helm | The Kubernetes cluster you point them at, when migrating from it or installing the Control Plane Kubernetes operator |
terraform, pulumi | The Control Plane API, through the Control Plane provider |
gcloud and other cloud CLIs | Your own cloud account, when connecting a private network or creating an agent VM |
curl | Your own domain, to check it after setup |
The plugin itself stores nothing. Resources, app files, and invitations the assistant creates are stored in your Control Plane org until you delete them, and the org's audit trail records each change.
support@controlplane.com or Slack