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 Chart.yaml
`get_notes`	Get chart NOTES.txt (post-install instructions)

Install

Docker (recommended — no install required, used in Editor Setup above):

docker pull ghcr.io/kubedoll-heavy-industries/mcp-helm:latest

Binary:

curl -fsSL https://github.com/kubedoll-heavy-industries/helm-mcp/releases/latest/download/mcp-helm_$(uname -s)_$(uname -m).tar.gz | tar xz
sudo mv mcp-helm /usr/local/bin/

Go:

go install github.com/kubedoll-heavy-industries/helm-mcp/cmd/mcp-helm@latest

Self-Hosting

For shared deployments or when you need an HTTP endpoint:

docker run -p 8012:8012 ghcr.io/kubedoll-heavy-industries/mcp-helm:latest \
  --transport=http --listen=:8012
# Connect to http://localhost:8012/mcp

See docs/self-hosting.md for health endpoints and production recommendations.

Documentation

Configuration Reference — CLI flags, env vars, transport modes
Self-Hosting Guide — Docker HTTP, health endpoints, production tips
Troubleshooting — common issues and fixes
Contributing — development setup, testing, PR guidelines
Security Policy — reporting vulnerabilities

License

MIT — see LICENSE.

Helm MCP