AI Agent for OCM MCP Server
Seamlessly manage and observe multiple Kubernetes clusters with the Open Cluster Management (OCM) MCP Server integration. Enhance Generative AI workflows with real-time access to hub and managed clusters, retrieve comprehensive resource data, and streamline multi-cluster operations for superior cluster observability and operational efficiency.
Unified Multi-Cluster Kubernetes Management
Gain real-time access and control over hub and managed Kubernetes clusters from a single, AI-empowered interface. Automate resource retrieval, cluster connectivity, and multi-cluster observability with the robust Model Context Protocol (MCP) integration, optimizing your cloud-native operations.
- Hub & Managed Cluster Access.
- Directly retrieve resources from both hub and managed clusters for complete visibility.
- ClusterRole Connectivity.
- Easily connect to managed clusters using specified ClusterRoles to maintain security and compliance.
- Cluster Observability.
- View real-time metrics, logs, and alerts across integrated clusters for proactive management.
- Multi-Cluster Operations.
- Perform seamless operations across multiple clusters via Open Cluster Management.
Enhanced AI-Driven Automation
Leverage reusable prompt templates tailored for Open Cluster Management tasks, enabling more efficient agent interactions and automating complex workflows. Simplify development and integration with direct references to official OCM documentation.
- Prompt Templates (Planned).
- Accelerate OCM agent interactions with reusable, task-specific prompt templates.
- OCM Resource Library (Planned).
- Reference official documentation and resources directly within your workflow for seamless integration.
- Developer Friendly.
- Configure and extend the MCP server easily using JSON-based configuration and standard tools like kubectl.
Simple, Secure, and Scalable Setup
Deploy the OCM MCP Server with minimal configuration. Use your existing KUBECONFIG and standard Kubernetes tools for instant integration. Benefit from a scalable, MIT-licensed platform designed for modern, multi-cloud operations.
- Cloud-Native Ready.
- Integrates seamlessly with Kubernetes environments using KUBECONFIG.
- Secure by Default.
- Leverage secure access control via ClusterRole and best practices.
- Open Source & MIT Licensed.
- Enjoy the freedom and flexibility of an open-source, MIT-licensed solution.
MCP INTEGRATION
Available Open Cluster Management MCP Integration Tools
The following tools are available as part of the Open Cluster Management MCP integration:
- get_hub_resources
Retrieve resources and data from the hub Kubernetes cluster (current context) for management or inspection.
- get_managed_resources
Fetch resources from managed Kubernetes clusters, enabling visibility and control across environments.
- connect_managed_cluster
Establish a connection to a managed cluster using a specified ClusterRole for secure access.
- get_multicluster_resources
Access resources across multiple Kubernetes clusters via Open Cluster Management for unified operations.
- analyze_metrics_logs_alerts
Retrieve and analyze metrics, logs, and alerts from integrated clusters for comprehensive observability.
Streamline Multi-Cluster Kubernetes Management with OCM MCP Server
Experience seamless GenAI-powered operations, observability, and resource management across all your Kubernetes clusters. Simplify complex multi-cluster workflows and unlock deep insights with the OCM MCP Server.
What is Multi-Cluster MCP Server
Multi-Cluster MCP Server is an advanced gateway application designed for managing and orchestrating Kubernetes operations across multiple clusters. Developed as part of the MCP ecosystem, this server acts as a centralized hub, providing a standardized API that allows users and AI systems to interact seamlessly with various Kubernetes environments. With full support for kubectl, the Multi-Cluster MCP Server enables efficient resource management, configuration, and deployment across distributed clusters from a single interface. Its robust architecture is tailored for enterprises or organizations running complex, multi-cluster Kubernetes infrastructures, ensuring high availability, streamlined operations, and enhanced security. The platform is particularly beneficial for teams looking to scale their Kubernetes management, automate workflows, and integrate with generative AI systems for intelligent cloud operations.
Capabilities
What we can do with Multi-Cluster MCP Server
With the Multi-Cluster MCP Server, users and organizations can unify and streamline their Kubernetes operations across diverse environments. The server supports advanced features for resource management, automation, and integration, making it a versatile tool for DevOps teams, cloud architects, and AI-driven systems.
- Centralized Cluster Management
- Manage multiple Kubernetes clusters from a single interface, reducing operational overhead.
- Standardized API Access
- Interact with all connected clusters through a unified API, simplifying integrations and automation.
- Full kubectl Support
- Execute kubectl commands across clusters, enabling familiar and powerful control for administrators.
- Automated Resource Deployment
- Deploy and manage applications and resources programmatically across clusters simultaneously.
- AI Integration Ready
- Seamlessly connect generative AI or automation agents to orchestrate complex, multi-cluster operations.
How AI Agents Can Benefit from Multi-Cluster MCP Server
AI agents can leverage the Multi-Cluster MCP Server to automate complex cloud and Kubernetes workflows, such as scaling, deployment, monitoring, and healing across distributed clusters. By integrating with the standardized MCP API, AI systems can make intelligent decisions, coordinate resources, and enhance operational efficiency without manual intervention. This unlocks a new level of autonomous cloud management, allowing organizations to harness the full power of AI-driven DevOps and cloud orchestration.