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Helm Chart Cli MCP Server

@jeff-nasseri

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

jeff-nasseri

投稿者

Jeff Nasseri

Helm Chart Cli MCP Server について

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 Chart Cli MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Helm Chart Cli MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

1

What prerequisites are needed?

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

2

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`.

3

What tools are available?

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

4

Does it support authenticating to registries?

Yes, via `helm_registry_login` and `helm_registry_logout` with username/password credentials.

5

Is there a transport or authentication mechanism for the server itself?

The README does not specify any transport or authentication for the MCP server; it runs as a direct server process (e.g., `mcp-server-helm`).

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