AI Agent for MCP K8S Go
Seamlessly connect your Golang-based Model Context Protocol (MCP) server to Kubernetes clusters. Automate management and interaction with Kubernetes resources, streamline operational workflows, and enhance productivity by leveraging advanced resource handling, pod log access, event monitoring, and more—all through automated AI-driven capabilities.
Comprehensive Kubernetes Resource Management
List, get, create, and modify Kubernetes resources—pods, services, deployments, nodes, and more—all from a single AI-powered interface. Custom mappings and automation streamline resource handling, while event monitoring and log access provide instant operational insights.
- Multi-Context Management.
- Easily list and switch between multiple Kubernetes contexts to manage complex environments.
- Resource Automation.
- List, get, create, and modify Kubernetes resources, including custom mappings for pods, services, and deployments.
- Pod Command Execution.
- Run commands directly in Kubernetes pods for rapid troubleshooting and automation.
- Event & Log Monitoring.
- Get real-time access to Kubernetes events and pod logs for immediate operational insight.
Flexible Integration & Deployment Options
Connect and deploy the MCP K8S Go agent using Node.js, NPM, Docker, or from source. Integrate with Claude Desktop and Inspector for seamless AI-driven Kubernetes management. Choose from automated or manual installation paths to suit your infrastructure.
- Multiple Install Methods.
- Install via NPM, Docker, Smithery, mcp-get, GitHub releases, or build from source—flexibility for any stack.
- AI Client Integration.
- Works seamlessly with Claude Desktop, Inspector, and other MCP-compatible clients for AI-powered cluster management.
- Secure Configuration.
- Supports environment variables and command-line options for context restrictions and read-only modes.
Operational Control & Automation
Empower teams with granular control over access, permissions, and automation. Use command-line flags and environment variables to tailor resource availability, enforce read-only policies, and maintain secure, auditable cluster operations.
- Context & Permission Controls.
- Restrict cluster access by allowed contexts and enable read-only mode for safer operations.
- Customizable Flags.
- Leverage command-line options like --allowed-contexts and --readonly to tailor access and behavior.
- AI-Driven Workflow Automation.
- Automate routine Kubernetes management tasks and workflows with natural language commands and AI assistance.
MCP INTEGRATION
Available MCP K8S Go MCP Integration Tools
The following tools are available as part of the MCP K8S Go MCP integration:
- list_contexts
List all available Kubernetes contexts configured for your environment.
- list_namespaces
List all namespaces within the currently selected Kubernetes context.
- list_resources
List available Kubernetes resources such as pods, services, and deployments.
- get_resource
Retrieve details about a specific Kubernetes resource.
- create_resource
Create new Kubernetes resources by specifying the required configuration.
- modify_resource
Modify existing Kubernetes resources, updating their configuration or specifications.
- list_nodes
List all nodes in the current Kubernetes cluster.
- list_pods
List all pods in a specified namespace within the Kubernetes cluster.
- get_events
Fetch Kubernetes event logs for resources and clusters.
- get_pod_logs
Retrieve logs from specific Kubernetes pods for debugging and monitoring.
- run_command_in_pod
Execute commands within a running Kubernetes pod for diagnostics or management.
Connect and Manage Kubernetes with MCP K8S Go
Easily interact with your Kubernetes clusters using the Golang-based MCP server. List, get, create, and modify resources, inspect logs, and streamline cluster management—locally or in the cloud.
What is K8s Go
K8s Go is a powerful server implementation designed to interface with Kubernetes clusters using the Model Context Protocol (MCP). Developed to simplify and automate Kubernetes cluster management, K8s Go enables users to interact with Kubernetes environments efficiently. It provides deep observability into namespaces, nodes, pods, and resources, offering robust automation and streamlined workflows for DevOps teams, platform engineers, and software developers. By leveraging Go’s speed and concurrency, K8s Go ensures scalable and reliable operations, making it ideal for both small teams and large enterprises looking to maximize the benefits of Kubernetes.
Capabilities
What we can do with K8s Go
K8s Go empowers users to interact directly with Kubernetes clusters, enabling advanced management, automation, and monitoring. Its user-friendly interface and powerful backend allow seamless resource navigation and real-time control, making it easier to maintain, troubleshoot, and optimize Kubernetes environments.
- Browse and inspect resources
- Navigate and inspect namespaces, nodes, and pods in Kubernetes clusters.
- Automate workflows
- Implement automation for common cluster operations, reducing manual interventions.
- Streamlined troubleshooting
- Gain insights into cluster health and quickly identify issues for rapid resolution.
- Integrate with AI tools
- Use K8s Go as a backend for AI assistants and automation agents to manage Kubernetes.
- Role-based access
- Control and delegate access to specific cluster resources for enhanced security.
How AI Agents Benefit from K8s Go
AI agents can leverage K8s Go to automate complex Kubernetes management tasks, monitor resources in real-time, and integrate intelligent decision-making into DevOps workflows. By connecting directly to the cluster, AI agents can perform diagnostics, optimize resource allocation, and even execute self-healing operations, increasing overall productivity and reducing downtime.