Kubernetes MCP Server

What is Kubernetes MCP Server? Kubernetes MCP Server is a backend system designed to provide an interactive and extensible interface for managing Kubernetes resources, retrieving and analyzing logs, and formatting logs for export through the Model Context Protocol (MCP). How to use Kubernetes MCP Server? To use the Kubernetes MCP Server, clone the repository, build the binary, and run the server. You can interact with the server through HTTP endpoints for various Kubernetes operations and log management. Key features of Kubernetes MCP Server? CRUD operations on Kubernetes resources (Pods, Services, Namespaces, Deployments, etc.) Log retrieval and pattern searching Log formatting and exporting in multiple formats (Plaintext, JSON, CSV, NDJSON) Extensible architecture for future enhancements Use cases of Kubernetes MCP Server? Managing Kubernetes resources efficiently. Retrieving and analyzing logs from Kubernetes pods. Exporting logs in different formats for reporting or analysis. FAQ from Kubernetes MCP Server? What are the requirements to run the MCP Server? You need Go 1.24+, access to a Kubernetes cluster, and kubectl configured. Is there an API documentation available? Yes, the MCP server exposes HTTP endpoints for interacting with Kubernetes resources and logs. How can I get help with using the server? You can use the command ./k8s-mcp-server --help to get help.

As an MCP (Model Context Protocol) server, Kubernetes MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Kubernetes MCP Server, clone the repository, build the binary, and run the server. You can interact with the server through HTTP endpoints for various Kubernetes operations and log management. Key features of Kubernetes MCP Server? CRUD operations on Kubernetes resources (Pods, Services, Namespaces, Deployments, etc.) Log retrieval and pattern searching Log formatting and exporting in multiple formats (Plaintext, JSON, CSV, NDJSON) Extensible architecture for future enhancements Use cases of Kubernetes MCP Server? Managing Kubernetes resources efficiently. Retrieving and analyzing logs from Kubernetes pods. Exporting logs in different formats for reporting or analysis. FAQ from Kubernetes MCP Server? What are the requirements to run the MCP Server? You need Go 1.24+, access to a Kubernetes cluster, and kubectl configured. Is there an API documentation available? Yes, the MCP server exposes HTTP endpoints for interacting with Kubernetes resources and logs. How can I get help with using the server? You can use the command ./k8s-mcp-server --help to get help.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.