# Helm Chart Reader

> Use this tool when you need to access and retrieve accurate Helm chart data, including chart versions, values, and dependencies, to prevent incorrect Kubernetes configuration values. It solves problems related to hallucinated configuration values by querying actual chart repositories, providing reliable data for AI assistants. The Helm Chart Reader accepts repository URLs and chart names as input and outputs detailed chart information, making it ideal for use cases where accurate Kubernetes configuration is crucial.

Canonical page: https://skillsregistry.net/skills/kubedoll-helm  
JSON: https://api.skillsregistry.net/v1/skills/kubedoll-helm

## Description

Helm Chart Reader gives AI assistants read-only access to real Helm chart data from Helm repositories, including available chart versions, values schemas, dependencies, and post-install notes. The server prevents hallucinated Kubernetes configuration values by querying actual chart repositories. Available as a hosted service, Docker container, and binary releases for Linux and macOS.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kubedoll-helm)
- **Repository:** <https://github.com/kubedoll-heavy-industries/helm-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kubedoll-helm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kubedoll-helm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kubedoll-helm/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt