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Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.
io.github.ocm-mcp-server/ocm-mcp-server is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.ocm-mcp-server/ocm-mcp-server to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx ocm-mcp-server==0.6.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-08-29T17:41:54.578369Z",
"publishedAt": "2026-08-29T17:41:54.578369Z",
"statusChangedAt": "2026-08-29T17:41:54.578369Z"
}
},
"server": {
"name": "io.github.ocm-mcp-server/ocm-mcp-server",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.6.0",
"packages": [
{
"version": "0.6.0",
"transport": {
"type": "stdio"
},
"identifier": "ocm-mcp-server",
"runtimeHint": "uvx",
"registryType": "pypi",
"environmentVariables": [
{
"name": "KUBECONFIG",
"format": "string",
"isRequired": true,
"description": "Path to the kubeconfig with the OCM hub context (and optional spoke contexts)."
},
{
"name": "OCM_MCP_HUB_CONTEXT",
"format": "string",
"description": "Kubeconfig context name of the OCM hub cluster (defaults to the current context)."
},
{
"name": "OCM_MCP_READ_ONLY",
"format": "string",
"description": "Set to 'true' to disable the gated write path entirely (read-only fleet access)."
}
]
},
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/ocm-mcp-server/ocm-mcp-server:0.6.0",
"runtimeHint": "docker",
"registryType": "oci",
"environmentVariables": [
{
"name": "KUBECONFIG",
"format": "string",
"isRequired": true,
"description": "Path (inside the container) to the mounted kubeconfig with the OCM hub context."
},
{
"name": "OCM_MCP_HUB_CONTEXT",
"format": "string",
"description": "Kubeconfig context name of the OCM hub cluster (defaults to the current context)."
},
{
"name": "OCM_MCP_READ_ONLY",
"format": "string",
"description": "Set to 'true' to disable the gated write path entirely (read-only fleet access)."
}
]
}
],
"repository": {
"url": "https://github.com/ocm-mcp-server/ocm-mcp-server",
"source": "github"
},
"websiteUrl": "https://github.com/ocm-mcp-server/ocm-mcp-server/wiki",
"description": "Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit."
}
}