"Connecting to PostgreSQL database, retrieving table schema, and executing SQL queries" matching MCP servers:

Enables LLM agents to control NVIDIA Run:AI infrastructure by dynamically searching and executing over 426 Run:AI APIs through MCP tools.

MCP server to give every agent an ephemeral Linux sandboxes for executing shell commands.

Enables AI agents to create and manage BasicDeploy containers with PostgreSQL, S3 storage, and public URLs, including deploying apps, running commands, viewing logs, and sharing containers.

Connects AI agents to microsandbox for creating lightweight sandboxes, executing code, managing files, and monitoring resources.

Enables AI assistants to automate DDEV development environments, including project management, database operations, and executing commands for various CMS frameworks.

MCP server connecting Claude Code with E2B cloud sandboxes for working on any GitHub repo.

MCP server for securely discovering, pricing, renting, connecting, and releasing GPU compute instances from AI Galaxy with budget checks and two-phase approval.

Enables AI assistants to manage Portainer container environments through natural language, including deploying stacks, managing containers, images, volumes, networks, and executing commands.

An MCP server that enables managing Parallels Desktop virtual machines, including listing, starting, stopping, suspending, and executing commands inside VMs.

Enables MCP-compatible AI assistants to inspect and manage local or remote servers in plain language, covering system health, Docker containers, services, ports, disks, scoped files, and read-only database queries over key-only SSH. Write actions such as container restarts, file edits, and allowlisted dev commands require client approval.

Enables connecting to a Kubernetes cluster to manage resources and troubleshoot workloads with kubectl and Helm operations, including logs, scaling, port forwarding, and non-destructive mode.

A simple MCP server that allows accessing and executing shell commands on a VM machine through a web-based terminal interface, with automatic tunneling to make the VM accessible from anywhere.

An MCP server to create secure code sandbox environment for executing code within Docker containers.

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

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

Enables comprehensive management of Vast.ai GPU cloud instances, including searching for GPU offers, creating and managing instances, executing remote commands via SSH, and monitoring background tasks for ML training workflows.

Enables AI agents to manage virtualization, Active Directory, Windows hosts via WinRM, PostgreSQL databases, and shell/SSH environments through Model Context Protocol tools.

Enables AI assistants to manage Google Cloud Batch HPC jobs and Compute Engine VMs through conversational prompts, including submitting jobs, provisioning instances, and retrieving diagnostics.

Enables managing Akamai Cloud (Linode) Compute Instances via MCP, with tools to list, create, view, update, delete, boot, reboot, shutdown, resize, and clone VMs. Each connecting client brings its own Linode Personal Access Token, which is passed through without being stored.

Enables AI assistants to interact with Ubuntu VMs via SSH, including executing commands, simulating keyboard/mouse input, capturing screenshots, and controlling GUI applications remotely.