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Kubectl MCP server: MCP server, setup and security

Kubectl MCP server is an open-source MCP server that lets an AI agent interact with Kubernetes clusters using requests expressed in natural language. Its repository has 964 stars and its last commit is from October 22, 2026 and it is licensed under MIT.

Score
75/100
Adoption (stars) 30/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintainedTop 10% by stars

What Kubectl MCP server does

According to its repository: “Interact with Kubernetes clusters through natural language.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Kubectl MCP server is listed under Cloud platforms, a category of 116 servers in the directory, where it ranks #14 by stars.

Topics declared by the repository: deployment, devops, genai, kubernetes, kubernetes-cluster, llms.

Installing and connecting Kubectl MCP server

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Kubectl MCP server. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 23, 2025, the rohitg00/kubectl-mcp-server repository has 964 stars and 185 forks, with 6 open issues. It has more stars than 92% of the servers in the directory. It received changes this month.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

CoderCoder : 17.2K17.2KKubesharkKubeshark : 12.1K12.1KAwslabs MCPAwslabs MCP : 9.8K9.8KMCP server cloudflareMCP server cloudflare : 4.4K4.4KKubefwdKubefwd : 4.2K4.2KSocraticodeSocraticode : 3.4K3.4KKubernetes MCP serverKubernetes MCP server : 2.2K2.2KAzure DevOps (ADO)Azure DevOps (ADO) : 2.1K2.1KKubectl MCP serverKubectl MCP server : 964964
GitHub stars of the most followed servers in the category (log scale); Kubectl MCP server in orange. Checked October 25, 2026.

Verdict

Kubectl MCP server is one of the most solid servers in its category: followed, maintained and well framed.

Strengths

  • Active project: recent commit
  • Widely followed: 964 stars
  • Permissive licence (MIT)

Limitations

  • Install from source

Frequently asked questions

How do I install Kubectl MCP server?

No package is declared in the MCP registry: clone the rohitg00/kubectl-mcp-server repository, follow its README, then declare the start command in your client's MCP configuration.

Is Kubectl MCP server free?

The code is published under the MIT licence and can be used free of charge.

Is Kubectl MCP server safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by rohitg00 on GitHub. Check who maintains it before giving it access.

What are the alternatives to Kubectl MCP server?

In the same category: MCP server cloudflare, Awslabs MCP, Terraform, and Kubefwd. MCP server cloudflare and Awslabs MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score