EKS Model Context Protocol (MCP) Server

What is EKS Model Context Protocol (MCP) Server?

The EKS Model Context Protocol (MCP) Server is a lightweight and efficient server that implements the Model Context Protocol for EKS operations, providing a standardized interface for GenAI agents to interact with EKS clusters.

How to use EKS MCP Server?

To use the EKS MCP Server, you can run it locally using Python or deploy it using Docker or Docker Compose. You can also deploy it to ECS for production use.

Key features of EKS MCP Server?

• Fast response times with proper timeout handling
• Comprehensive support for EKS operations
• Kubernetes resource management (pods, services, deployments, etc.)
• Multiple authentication methods for EKS clusters
• Robust error handling and logging
• Docker containerization for easy deployment
• ECS deployment support

Use cases of EKS MCP Server?

1. Managing EKS clusters and resources efficiently.
2. Integrating GenAI agents for automated EKS operations.
3. Facilitating Kubernetes resource management through a standardized API.

FAQ from EKS MCP Server?

• What is the primary function of the EKS MCP Server?

It serves as a standardized interface for GenAI agents to perform operations on EKS clusters.

• How can I deploy the server?

You can deploy it using Docker, Docker Compose, or directly to ECS.

• What authentication methods are supported?

The server supports AWS SDK Authentication, Kubectl with generated kubeconfig, and direct Kubernetes API calls.