k8s-mcp-server and mcp-for-argocd
These tools are complements that work together—k8s-mcp-server provides general Kubernetes command execution for AI assistants, while mcp-for-argocd specializes in integrating with Argo CD's declarative GitOps workflow, allowing an AI assistant to both execute raw kubectl commands and manage Argo CD deployments through a unified MCP interface.
About k8s-mcp-server
alexei-led/k8s-mcp-server
K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments
This tool allows AI assistants like Claude to securely manage your Kubernetes clusters. You provide natural language instructions to Claude, which then translates them into actual Kubernetes commands (like `kubectl` or `helm`). The system executes these commands and returns the results to Claude, enabling it to assist with deployments, troubleshooting, and general cluster operations. It's designed for DevOps engineers, SREs, and platform engineers who want to use AI for Kubernetes management.
About mcp-for-argocd
argoproj-labs/mcp-for-argocd
An implementation of Model Context Protocol (MCP) server for Argo CD.
This project helps DevOps engineers and SREs manage their Argo CD applications by allowing AI assistants to interact with them using natural language. It takes natural language commands as input from tools like VS Code or Cursor, and outputs actions executed on Argo CD, such as listing applications, checking logs, or syncing deployments. It's designed for professionals responsible for deploying and managing applications on Kubernetes using Argo CD.
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