"Python runner with streamable HTTP support" matching MCP servers:

Enables AI assistants to manage OpenStack cloud resources including compute, images, identity, network, and block storage via the Model Context Protocol.

MCP server for driving CESM case lifecycle: setup, build, submit, and monitor. Complements CrocoDash MCP for grid creation and forcing.

An interactive Python code execution environment that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.

Enables AI assistants to create isolated Kubernetes Pod sessions for real-time shell command execution, file management, and Node.js code execution, with automatic TTL-based cleanup.

Enables MCP-compatible clients like Claude Desktop, Claude Code, Codex, and local-model hosts to inspect Proxmox VE clusters, nodes, VMs, containers, storage, snapshots, and tasks, with opt-in write operations for starting, stopping, cloning, backing up, and migrating guests. Read-only by default, it supports both stdio and Streamable HTTP transports.

A multitenant Streamable HTTP bridge over Nutanix's Prism Central v4 API MCP server, enabling per-tenant credential forwarding and read-only tool operations.

Enables AI assistants such as Claude, Cursor, Continue, and Codeium to manage files and downloads on Synology NAS devices through secure authenticated sessions. Supports Docker, PyPI, stdio, Streamable HTTP, and WebSocket deployment modes.

MCP sidecar server that exposes Dockhand's container, image, volume, network, and stack management as MCP tools over Streamable HTTP, enabling MCP clients to manage Docker resources through Dockhand's REST API.

A Python-based server enabling interaction with Proxmox hypervisors. It supports secure authentication and provides tools for managing nodes, VMs, clusters, and storage.

Exposes Arcane's Docker-management API (containers, images, volumes, networks, Compose projects, environments, system) as MCP tools over Streamable HTTP, with automatic tool generation from the live OpenAPI spec and confirmation for destructive operations.

A Python-based MCP server for interacting with Proxmox hypervisors, enabling management of nodes, VMs, containers, and executing commands via QEMU Guest Agent.

A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.

Lets AI agents inspect Kubernetes clusters in plain English, exposing read-only tools for pods, deployments, services, events, and logs, with mock and real backend support.

An enhanced Python-based MCP server that enables complete VM lifecycle management and monitoring of Proxmox virtualization platforms through natural language, with 11 REST API endpoints for seamless integration.

Enables Google Gemini and any MCP-compatible client to securely monitor and manage hypervisor guests — starting, stopping, rebooting, snapshotting, rolling back, and backing up VMs and containers — through the Model Context Protocol over Streamable HTTP with OAuth 2.0/OIDC authentication.

An MCP (Model Context Protocol) server that enables AI assistants to manage Exoscale cloud infrastructure. Supports both stdio and Streamable HTTP transports with read-only mode enabled by default for safety.

Persistent, secure LXC sandbox environments for AI agents with native MCP support.

Exposes Proxmox VE hosts as MCP tools for inventory, status, and VM/container management, running as a standalone Streamable HTTP service.

Terminal cockpit, CLI, and MCP server for Proxmox VE & PBS with 25 typed tools, pre-flight safety gates, Telegram HITL approval for destructive operations, and stdio/HTTP SSE transports.

Provides read-only access to Aruba Fabric Composer inventory, network state, and VMware vCenter/vSphere visibility through MCP tools over streamable HTTP.