官方说明10 个来源MCP 服务8 天前

cyclops-ui/mcp-cyclops

🎖️ 🏎️ ☁️ - Manage Kubernetes resources through the Cyclops abstraction

配置模板（请按你的客户端调整）

claude mcp add mcp-cyclops -- npx -y mcp-cyclops

这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。

★ 数取值: 30 ★ · cyclops-ui/mcp-cyclops · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
来源明细: 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
收录与活跃: 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
评分构成: 综合分 1,003 · 30 ★ · 10 个来源 · mcp

常见问题（答案都来自我们的记录）

怎么安装？

我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。

它适合谁 / 用来做什么？

我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。

谁维护它、还在更新吗？

仓库 cyclops-ui/mcp-cyclops；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

第三方质量标记

Cyclops MCP (Model Context Protocol)

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

Cyclops MCP allows your favorite AI agent to manage your Kubernetes applications. Cyclops MCP servers provide tools for agents to create and update existing applications safely.
https://github.com/user-attachments/assets/0c675c33-1e36-4fdb-bf8c-2fd7fb491e6b
This means it can check all of your existing templates and the schema of those templates to create accurate and production-ready applications. Your agent now has much less room to make a misconfiguration since it creates high-level resources (Cyclops Modules) instead of touching every line of your Kubernetes resources (Deployments, Services, and Ingresses).
It allows you to move fast and ensure no uncaught misconfigurations are hitting your production.
**With Cyclops and our MCP, you can now abstract Kubernetes complexity from your developers AND your AI agents**
Install via UI
The easiest way to install the Cyclops MCP server is through the Cyclops UI. Below are instructions on how to install it via binary and kubectl, but the recommended way of installing it is via the UI.
> ⚠️ To install Cyclops MCP through the UI, you should run Cyclops on a version v0.20.1 or greater
1. Install the Cyclops MCP by going to sidebar “Addon” > "MCP server". You can now click "Install Cyclops MCP server" and your Cyclops MCP server will be up and running in a few seconds.
2. Now that your MCP server is up running, all thats left is exposing it outside of your cluster and connecting your AI agent to it.
To expose the MCP server on localhost you can simply port-forward it with the following command:
Your server is now available on localhost:8000.
3. To connect it to an AI agent you will just have to provide the Cyclops MCP server in its configuration. For example, to add it to Cursor, you can simply add it with the following JSON:
You can now start a fresh conversation with your AI companion. Above is an example of how we used it with Cursor.
Install stdin binary
1. Make sure Cyclops is installed in your Kubernetes cluster
Check our docs on how it install it with a single command - https://cyclops-ui.com/docs/installation/install/manifest
2. Download MCP server
You can download the Cyclops MCP server binary with the following command:
3. Add server configuration
> ⚠️ By default, Cyclops MCP will use the .kube/config file to connect to your cluster
Configure your MCP Cyclops server:
Configuration
You can configure Cyclops MCP server via env variables. Below is an example of adding the configuration for specifying the kubeconfig file the Cyclops MCP server should use when managing your Cyclops applications.
Environment variables
Below is the list of environment variables used for configuring your Cyclops MCP server:
| Env var | Description |
|-----------------------------------|-----------------------------------------------------------------------------------------|
| KUBECONFIG | Path to kubeconfig file (optional, defaults to in-cluster config or $HOME/.kube/config) |
| CYCLOPS_KUBE_CONTEXT | Kubernetes context to use (optional) |