Multi-Cluster MCP Server

<!-- [](https://mseep.ai/app/yanmxa-multicluster-mcp-server) --> # Multi-Cluster MCP server The **Multi-Cluster 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. ## **🚀 Features** ### 🛠️ MCP Tools - Kubernetes Cluster Awareness - ✅ Retrieve resources from the **hub cluster** (current context) - ✅ Retrieve resources from the **managed clusters** - ✅ Connect to a **managed cluster** using a specified `ClusterRole` - ✅ Access resources across multiple Kubernetes clusters(via Open Cluster Management) - ❌ Retrieve and analyze **metrics, logs, and alerts** from integrated clusters - ❌ Interact with multi-cluster APIs, including Managed Clusters, Policies, Add-ons, and more  <details> <summary>Mutiple Kubernetes Clusters Operations</summary> [](https://asciinema.org/a/706281) </details> ### 📦 Prompt Templates for Open Cluster Management *(Planning)* - Provide reusable prompt templates tailored for OCM tasks, streamlining agent interaction and automation ### 📚 MCP Resources for Open Cluster Management *(Planning)* - Reference official OCM documentation and related resources to support development and integration ### **📌 How to Use** - Use with MCP Inspector ```bash mcp dev ./src/multicluster_mcp_server/__main__.py ``` Configure the server using the following snippet: ```json { "mcpServers": { "multicluster-mcp-server": { "command": "uvx", "args": [ "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. ## License This project is licensed under the [MIT License](LICENSE).