K8s-mcp-server: Securely connect AI models to Kubernetes via MCP for AI-driven cluster management and automation.

ESXi MCP Server: Integrate AI models with VMware via REST APIs for streamlined VM management and monitoring.

Manage Kubernetes with AI using `mcp-server-kubernetes`, an MCP Server for seamless AI model integration.

Azure CLI MCP Server: Securely connect AI models to Azure via the Azure CLI for resource management.

Kubectl MCP Tool: Connect AI models to Kubernetes clusters via natural language. An MCP server for seamless AI integration.

mcp-nutanix: MCP server for AI-driven Nutanix Prism Central interaction.

Kom: Kubernetes SDK for AI model integration with MCP support.

Securely execute Python code with AI models using the `mcp-run-python` MCP server. Sandboxed environment via Pyodide in Deno.

mcp_safe_local_python_executor: A secure MCP server for running LLM-generated Python code locally. Enhances AI model interactions safely.

term_mcp_deepseek: DeepSeek API-powered MCP server for terminal AI.

Nostr MCP Server: Empowering AI models with censorship-resistant Nostr interactions via MCP.

AgentMail MCP Server: AI-driven email management via MCP. Dynamic inboxes, message control, and seamless integration for AI models.