Helm Chart Cli

Name: Helm Chart Cli
Author: jeff-nasseri

@jeff-nasseri

About 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

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Does it support authenticating to registries?

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

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).

Comments

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