Development · MODEL CONTEXT PROTOCOL
multicluster-mcp-server
The gateway for GenAI systems to interact with multiple Kubernetes clusters through the MCP
连接能力
multicluster-mcp-server 为 AI Agent 提供什么
来源目录未提供结构化功能列表，请在使用前阅读源仓库文档。
安全
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前，请检查代码、环境变量、网络行为、软件包来源与维护状态。
README
仓库文档
The OCM MCP Server provides a robust gateway for Generative AI (GenAI) systems to interact with multiple Kubernetes clusters through the Model Context Protocol (MCP). It facilitates comprehensive operations on Kubernetes resources, streamlined multi-cluster management, and delivered interactive cluster observability.
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✅ Retrieve resources from the hub cluster (current context)
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✅ Retrieve resources from the managed clusters
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✅ Connect to a managed cluster using a specified
ClusterRole -
✅ Access resources across multiple Kubernetes clusters(via Open Cluster Management)
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🔄 Retrieve and analyze metrics, logs, and alerts from integrated clusters
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❌ Interact with multi-cluster APIs, including Managed Clusters, Policies, Add-ons, and more
Mutiple Kubernetes Clusters Operations
- Provide reusable prompt templates tailored for OCM tasks, streamlining agent interaction and automation
- Reference official OCM documentation and related resources to support development and integration
Configure the server using the following snippet:
{
"mcpServers": {
"multicluster-mcp-server": {
"command": "npx",
"args": [
"-y",
"multicluster-mcp-server@latest"
]
}
}
}Note: Ensure kubectl is installed. By default, the tool uses the KUBECONFIG environment variable to access the cluster. In a multi-cluster setup, it treats the configured cluster as the hub cluster, accessing others through it.
This project is licensed under the MIT License.
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