An MCP server that lets AI agents operate a multi-cluster Kubernetes fleet through an Open Cluster Management hub, with policy, approval, and audit between the model and your clusters.
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Ocm MCP Server is an MCP server that an MCP server that lets AI agents operate a multi-cluster Kubernetes fleet through an Open Cluster Management hub, with policy, approval, and audit between the model and your clusters. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 44/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"ocm-fleet": {
"env": {
"OCM_MCP_HUB_CONTEXT": "kind-hub",
"OCM_MCP_SPOKE_CONTEXTS": "cluster1=kind-cluster1,cluster2=kind-cluster2,cluster3=kind-cluster3"
},
"command": "ocm-mcp-server"
}
}
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An MCP server that lets AI agents operate a multi-cluster Kubernetes fleet through an Open Cluster Management hub, with policy, approval, and audit between the model and your clusters.
This server supports HTTP transport. Be the first to test it — help the community know if it works.
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An MCP server that lets AI agents operate a multi-cluster Kubernetes fleet through an Open Cluster Management hub, with policy, approval, and audit between the model and your clusters.
The agent never holds a kubeconfig. Every write is policy-checked, human-approved, and traced.
✨ Why · 📦 Get it · 🔌 Connect your agent · 🧭 Architecture · 🧰 Toolsets · 🛠️ Tools · 💬 Prompts · 🔭 Observability · 🚀 Quickstart · 📖 Wiki · 📚 Docs
The whole safe-remediation loop: investigate with free reads, propose a change, get rejected by the guardrails and correct it, wait for a human-signed token, apply, verify, and report from the audit log.
Your team runs many Kubernetes clusters. Sooner or later somebody asks the question: can an AI agent take the 2 a.m. page?
The quickest way to find out is to hand a model kubectl with cluster-admin and watch.
In production th