How do I install Helm?

Helm is a local plugin. Install it using PyPI package: helm-mcp and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

What credentials does Helm need?

Helm requires the following credentials or environment variables: KUBECONFIG, HELM_MCP_BINARY. You can find setup instructions on the server detail page.

What AI apps work with Helm?

Helm uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Helm MCP Server

by SCGIS Wales

Cloud & DevOpsScan in ProgressMCP RegistryLocal

Free

Server data from the Official MCP Registry

The full Helm CLI surface as 46 MCP tools, backed by the Helm v3 and v4 Go SDKs.

About

The full Helm CLI surface as 46 MCP tools, backed by the Helm v3 and v4 Go SDKs.

Security Report

0.0

Use Caution0.0Moderate Risk

69 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.

What You'll Need

Set these up before or after installing:

Path to the kubeconfig file. Defaults to ~/.kube/config.Optional

Environment variable: KUBECONFIG

Explicit path to the helm-mcp Go binary. Auto-detected when unset.Optional

Environment variable: HELM_MCP_BINARY

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-scgis-wales-helm-mcp": {
      "env": {
        "KUBECONFIG": "your-kubeconfig-here",
        "HELM_MCP_BINARY": "your-helm-mcp-binary-here"
      },
      "args": [
        "helm-mcp"
      ],
      "command": "uvx"
    }
  }
}

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