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io.github.sandeepbazar/ocm-mcp-server MCP Server

io.github.sandeepbazar/ocm-mcp-server

Guardrailed multi-cluster Kubernetes operations for AI agents via OCM with policy, approval, and audit.

What is the io.github.sandeepbazar/ocm-mcp-server MCP server?

The ocm-mcp-server MCP server enables AI agents to safely manage multi-cluster Kubernetes environments through Open Cluster Management (OCM). It provides policy-driven operations, approval workflows, and audit logging to ensure guardrailed fleet operations across distributed clusters.

This server bridges AI agents and Kubernetes fleet management by exposing OCM capabilities with built-in safety controls. Use it to orchestrate multi-cluster deployments, enforce policies, require approvals for sensitive operations, and maintain audit trails—all through natural language commands to Claude or other AI agents.

How to install io.github.sandeepbazar/ocm-mcp-server

Copy-paste configuration for popular MCP clients.

transport: stdio

Config generated by PluginBench — verify against the source before use.

Environment / auth

KUBECONFIG
required
Path to the kubeconfig with the OCM hub context (and optional spoke contexts).
OCM_MCP_HUB_CONTEXT
Kubeconfig context name of the OCM hub cluster (defaults to the current context).
OCM_MCP_READ_ONLY
Set to 'true' to disable the gated write path entirely (read-only fleet access).

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

{
  "mcpServers": {
    "ocm-mcp-server": {
      "command": "uvx",
      "args": [
        "ocm-mcp-server"
      ],
      "env": {
        "KUBECONFIG": "<YOUR_KUBECONFIG>",
        "OCM_MCP_HUB_CONTEXT": "<YOUR_OCM_MCP_HUB_CONTEXT>",
        "OCM_MCP_READ_ONLY": "<YOUR_OCM_MCP_READ_ONLY>"
      }
    }
  }
}

Use cases

Deploy applications across multiple Kubernetes clusters with policy enforcement
Request and approve cluster operations through guardrailed workflows
Audit and track all fleet management actions performed by AI agents
Manage cluster policies and compliance across a distributed infrastructure
Automate multi-cluster operations while maintaining security and governance

io.github.sandeepbazar/ocm-mcp-server MCP server FAQ

What is the ocm-mcp-server?

It's an MCP server that gives AI agents safe, policy-driven access to manage multiple Kubernetes clusters via Open Cluster Management (OCM), with built-in approval workflows and audit logging.

Is it free?

Yes, ocm-mcp-server is open-source and available on PyPI and as a container image.

How do I install it?

Install via PyPI with `pip install ocm-mcp-server` or use the container image `ghcr.io/ocm-mcp-server/ocm-mcp-server`.

Does it require authentication?

Yes, it requires access to an OCM-managed Kubernetes environment and appropriate credentials to connect to your clusters.

What are the main safety features?

The server includes policy enforcement, approval workflows for sensitive operations, and comprehensive audit logging to track all actions.

Can I use this with Cursor or Claude?

Yes, as an MCP server, it integrates with any MCP-compatible client including Claude and Cursor.

README (reference)

Source of truth, from the repository.

ocm-mcp-server has moved

This project now lives at github.com/ocm-mcp-server/ocm-mcp-server.


Code	https://github.com/ocm-mcp-server/ocm-mcp-server
Docs	https://ocm-mcp-server.github.io/
PyPI	`pip install ocm-mcp-server`
Container	`ghcr.io/ocm-mcp-server/ocm-mcp-server`
MCP Registry	`io.github.ocm-mcp-server/ocm-mcp-server`

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