A Kubernetes MCP server facilitating resource queries, creation, updates, deletions, and Helm release management through MCP tools, supporting both stdio and SSE modes for flexible integration with MCP-compatible clients.
A Kubernetes MCP server facilitating resource queries, creation, updates, deletions, and Helm release management through MCP tools, supporting both stdio and SSE modes for flexible integration with MCP-compatible clients.
What is Kubernetes MCP (Model Control Protocol) server?
This MCP server provides comprehensive interaction capabilities with Kubernetes clusters, including querying supported resource types and CRDs, performing CRUD operations, and managing Helm releases and repositories. It leverages kubeconfig for secure access, supports fine-grained control over operations, and can be deployed in stdio or SSE modes for real-time communication. Suitable for automation, developer support, and cluster management, it streamlines Kubernetes resource handling and Helm workflows, enhancing operational efficiency and ease of use.
Who will use Kubernetes MCP (Model Control Protocol) server?
Kubernetes administrators
DevOps engineers
Cloud engineers
Developers working with Kubernetes and Helm
Automation specialists
How to use the Kubernetes MCP (Model Control Protocol) server?
Step1: Download and build the MCP server binary or use pre-built releases
Step2: Configure access via kubeconfig and set required operational flags
Step3: Run the server in stdio or SSE mode based on deployment needs
Step4: Connect MCP clients or LLMs to interact with the cluster via the MCP server
Step5: Use MCP tools for resource management and Helm operations as needed
Kubernetes MCP (Model Control Protocol) server's Core Features & Benefits
The Core Features
Query supported Kubernetes resource types
Get, list, create, update, delete resources
Manage Helm releases and repositories
Support for all Kubernetes resource types including CRDs
Operate via stdio or SSE modes
The Benefits
Simplifies resource management through API and command-line tools
Supports automation and integration with MCP clients and LLMs
Provides fine-grained control over operations
Enhances cluster management efficiency
Flexible deployment options including Docker
Kubernetes MCP (Model Control Protocol) server's Main Use Cases & Applications
Automated Kubernetes resource management via LLM or scripts
CI/CD pipeline integration for resource deployment
Helm-based application lifecycle management
Development and testing environment setup and teardown
Operational troubleshooting and cluster status queries
FAQs of Kubernetes MCP (Model Control Protocol) server