A Kubernetes documentation assistant built with the MCP (Model Context Protocol) Python SDK.

• Fetch and convert Kubernetes documentation to Markdown format
• Get related/recommended documentation pages

1. Install the uv package manager:

   curl -LsSf https://astral.sh/uv/install.sh | sh

2. Initialize the project and install dependencies:

   uv init .
   uv add "mcp[cli]" requests beautifulsoup4 markdown

3. Install the MCP server:

   uv run mcp install main.py

Start the MCP server:

uv run python main.py

This will add json definition to Claude Desktop (to MPC Host/Client) like this and run server in background.

{
  "mcpServers": {
    "k8s-doc": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "/<path-to>/k8s-doc-mcp/main.py"
      ]
    }
  }
}

• read_documentation(url): Fetch and convert a Kubernetes documentation page to Markdown format
• recommend(url): Get recommended Kubernetes documentation pages related to a specified URL

1. read_documentation Access and understand the content of specific Kubernetes documentation pages.

How to https://kubernetes.io/docs/tasks/tls/certificate-issue-client-csr/? How to https://kubernetes.io/docs/tasks/administer-cluster/cluster-upgrade/?

2. recommend Find other pages related to a topic, typically starting from a page you've just read or are interested in.

"Can you recommend other pages related to this URL: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/?" "What other documentation pages are related to the one about Deployments (https://kubernetes.io/docs/concepts/workloads/controllers/deployment/)?" "Based on the information about Services, what other pages might be relevant? (Page: https://kubernetes.io/docs/concepts/services-networking/service/)" "Explore related topics starting from the documentation on Pods (https://kubernetes.io/docs/concepts/workloads/pods/)."

• MCP Python SDK Documentation
• uv Package Manager
• Kubernetes Documentation