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ocm-mcp-server

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About ocm-mcp-server

Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, and audit

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "sandeepbazar-ocm": {
      "command": "uvx",
      "args": [
        "ocm-mcp-server"
      ],
      "env": {
        "KUBECONFIG": "<KUBECONFIG>",
        "OCM_MCP_HUB_CONTEXT": "<OCM_MCP_HUB_CONTEXT>",
        "OCM_MCP_READ_ONLY": "<OCM_MCP_READ_ONLY>"
      }
    }
  }
}
Run commanduvx ocm-mcp-server
Environment variables to set
KUBECONFIGPath to the kubeconfig with the OCM hub context (and optional spoke contexts).
OCM_MCP_HUB_CONTEXTKubeconfig context name of the OCM hub cluster (defaults to the current context).
OCM_MCP_READ_ONLYSet to 'true' to disable the gated write path entirely (read-only fleet access).

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiocm-mcp-server0.4.0
ocighcr.io/sandeepbazar/ocm-mcp-server:0.4.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.