Helm Chart Cli

Name: Helm Chart Cli
Author: jeff-nasseri

@jeff-nasseri

关于 Helm Chart Cli

Helm MCP provides a bridge between AI assistants and the Helm package manager for Kubernetes. It allows AI assistants to interact with Helm through natural language requests, executing commands like installing charts, managing repositories, and more.

#helm-cli #kubernetes #ai-assistant

基本信息

分类

开发工具

传输方式

stdio

发布者

jeff-nasseri

提交者

Jeff Nasseri

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "helm": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-helm",
        "."
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Helm Chart Cli?

Helm Chart Cli is an MCP server that bridges AI assistants with the Helm package manager for Kubernetes. It allows AI assistants to interact with Helm through natural language requests, executing commands like installing charts and managing repositories.

How to use Helm Chart Cli?

Requires Python 3.8+ and the Helm CLI installed. Deploy via Docker (build from the repo) or manually: clone the repository, create a virtual environment, install dependencies with uv, and run mcp-server-helm. The server exposes dozens of tools mapped to standard Helm commands.

Key features of Helm Chart Cli

Chart creation, linting, packaging, and template rendering.
Comprehensive release management: install, upgrade, rollback, uninstall, list, status, history, test.
Dependency management: build, list, update.
Repository management: add, remove, list, update, search.
Registry management: login, logout, push, pull.
Release information: get all, hooks, manifest, metadata, notes, values.

Use cases of Helm Chart Cli

Automate chart installation and upgrades via natural language.
Manage multiple chart repositories and search for charts.
Debug and validate charts with linting and template output.
Perform release rollbacks and test executions.
Push and pull charts from OCI registries.

FAQ from Helm Chart Cli

What prerequisites are needed?

Python 3.8+, Helm CLI installed, and optionally Docker for containerized deployment.

How do I install and run the server?

Clone the repository, then either build the Docker image (docker build -t mcp-helm) or install manually with uv and run mcp-server-helm.

What tools are available?

Over 30 tools covering chart creation, dependency management, release management, repository management, registry operations, and release information.