Is io.github.Kubedoll-Heavy-Industries/helm-mcp safe to use?

io.github.Kubedoll-Heavy-Industries/helm-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.Kubedoll-Heavy-Industries/helm-mcp?

io.github.Kubedoll-Heavy-Industries/helm-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

io.github.Kubedoll-Heavy-Industries/helm-mcp

Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.

0 tools GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Untested

Transport:

0 tools

Grade F

AI / ML Cloud

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-kubedoll-heavy-industries-helm-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-kubedoll-heavy-industries-helm-mcp)](https://mcppedia.org/s/io-github-kubedoll-heavy-industries-helm-mcp)

Read me

What io.github.Kubedoll-Heavy-Industries/helm-mcp does

Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

11/100across 5 weighted dimensions

How we score →

0255075100

−89

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Kubedoll-Heavy-Industries/helm-mcp safe to use?: io.github.Kubedoll-Heavy-Industries/helm-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Kubedoll-Heavy-Industries/helm-mcp?: io.github.Kubedoll-Heavy-Industries/helm-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

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MCP Security Weekly

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

AI / ML Cloud

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-kubedoll-heavy-industries-helm-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-kubedoll-heavy-industries-helm-mcp)](https://mcppedia.org/s/io-github-kubedoll-heavy-industries-helm-mcp)

Read me

What io.github.Kubedoll-Heavy-Industries/helm-mcp does

Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

mcp-helm

Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.

What is this?

When you ask Claude, Cursor, or other AI assistants to help with Kubernetes deployments, they don't have access to Helm chart schemas. So they guess — and the guesses look plausible but don't match reality.

Without mcp-helm:

:x: Hallucinates field names that look right but don't exist
:x: Suggests stale or deprecated chart versions
:x: Wastes tokens on web fetches and guesswork

With mcp-helm:

:white_check_mark: Queries actual Helm repositories for real chart data
:white_check_mark: Gets the latest chart version automatically
:white_check_mark: Correct configurations the first time

mcp-helm implements the Model Context Protocol (MCP) — a standard way for AI assistants to access external data sources.

Try It Now

Add this to your editor's MCP config to use our public instance (rate limited, no install required):

{
  "mcpServers": {
    "helm": {
      "type": "http",
      "url": "https://helm-mcp.kubedoll.com/mcp"
    }
  }
}

Then ask your AI: "What values can I configure for the bitnami/postgresql chart?"

Editor Setup

Claude Code

Edit ~/.claude/mcp.json:

{
  "mcpServers": {
    "helm": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "ghcr.io/kubedoll-heavy-industries/mcp-helm", "--transport=stdio"]
    }
  }
}

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "helm": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "ghcr.io/kubedoll-heavy-industries/mcp-helm", "--transport=stdio"]
    }
  }
}

Cursor

Edit MCP settings in Cursor's configuration:

{
  "mcpServers": {
    "helm": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "ghcr.io/kubedoll-heavy-industries/mcp-helm", "--transport=stdio"]
    }
  }
}

VS Code + Continue

Add to your Continue config (~/.continue/config.json):

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "type": "stdio",
          "command": "docker",
          "args": ["run", "--rm", "-i", "ghcr.io/kubedoll-heavy-industries/mcp-helm", "--transport=stdio"]
        }
      }
    ]
  }
}

Without Docker

If you prefer to run the binary directly, install mcp-helm and replace the Docker config with:

{
  "mcpServers": {
    "helm": {
      "command": "mcp-helm"
    }
  }
}

Available Tools

Tool	What it does
`search_charts`	Search for charts in a Helm repository
`get_versions`	Get available versions of a chart (newest first, use `limit=1` for latest)
`get_values`	Get chart `values.yaml` with optional JSON schema (`include_schema=true`)
`get_dependencies`	Get chart dependencies from C

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

11/100across 5 weighted dimensions

How we score →

0255075100

−89

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Kubedoll-Heavy-Industries/helm-mcp safe to use?: io.github.Kubedoll-Heavy-Industries/helm-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Kubedoll-Heavy-Industries/helm-mcp?: io.github.Kubedoll-Heavy-Industries/helm-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.