"Bitbucket integration for CursorAI to manage repositories and pull requests" matching MCP servers:

A Model Context Protocol server for managing cloud servers, particularly DigitalOcean droplets, allowing users to identify providers via IP addresses and perform operations like power management, status monitoring, and resource usage tracking.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

MCP server for querying Docker Hub image statistics, including pull counts, stars, descriptions, and publisher catalogs. No API key required.

AI-powered Veeam Backup & Replication operations MCP server with tools for managing jobs, restores, sessions, and repositories, featuring built-in governance, audit logging, and safety controls.

Enables users to manage standard AutoDL container instances through natural language: powering them on (including a no-GPU mode), powering them off, and checking instance and background job status. When GPUs are out of stock, power-on requests keep retrying in the background with exponential backoff until the instance starts.

A Model Context Protocol server that provides integration with the Coolify API, enabling DevOps teams to manage Coolify deployments, applications, services, and servers through MCP tools.

Enables AI tools to manage containerized applications through Podman, supporting container lifecycle operations, command execution, log viewing, image management, and resource monitoring. Features automatic network discovery for seamless integration with MCP Discovery Hub.

Enables an AI agent to run and inspect containers, build and pull images, manage volumes and networks, drive Compose projects, clean up, and run self-checking practice labs. Startup modes restrict it to read-only, labs-only, or full Docker control with confirmation before dangerous operations.

Enables LLMs to search Docker Hub repositories, discover container images, and manage Docker Hub repositories and tags through natural language queries. Supports both public content access and authenticated operations with Docker Personal Access Tokens.

Enables AI agents to operate disposable Linux computers via MCP, providing tools for shell, file read/write, directory listing, and port exposure. It also supports browser automation and integration with any MCP-compatible client.

Enables comprehensive management of Proxmox virtualization environments, including VM and container lifecycle, snapshots, backups, monitoring, and OpenAPI integration.

Free, cross-platform VM orchestration for AI workflows with built-in MCP integration, sandboxed code execution, and compliance-ready architecture (SOC 1/2/3, HIPAA, ISO 27001).

Enables AI assistants to manage Google Cloud TPU VMs, including queueing, monitoring, bootstrapping, and SSH/tmux integration.

MCP server for Apple container to manage, build, inspect, and diagnose Linux containers on macOS directly from AI agents.

Enables interacting with a Harbor container registry through the Model Context Protocol, supporting operations for projects, repositories, tags, and Helm charts.

Enables searching LinuxServer.io images, auditing Docker Compose and run commands against documentation-derived conventions, and searching open/closed image requests to prepare drafts without submission.

Enables users to observe and interact with virtual machine desktops over VNC, including screenshots, mouse and keyboard input, text entry, and waiting for visual conditions. Supports multiple sessions, timeout/cancellation handling, and optional VMware clipboard integration.

Automatically installs and containerizes MCP servers from GitHub repositories using MCP sampling to analyze repositories and create appropriate Docker images.