"Docker container management for Windsurf IDE on Linux" matching MCP servers:

Enables AI agents to retrieve the latest semantic version tags for container images from Docker Hub, GHCR, Quay, and other OCI registries, allowing them to pin specific versions for reproducible deployments.

A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.

Run AI agents in VM-isolated sandboxes on your Mac.

An MCP server for managing and monitoring Docker, Docker Compose, and Kubernetes environments alongside Azure Application Insights. It enables advanced log filtering, container lifecycle management, and querying of cloud application traces and metrics.

A secure, container-based implementation of the Model Context Protocol (MCP) that provides sandboxed environments for AI systems to safely execute code, run commands, access files, and perform web operations.

An AI-assisted, long-term memory system for IDEs, powered by Kuzu graph database. GraphMemory-IDE is an MCP server that provides semantic vector search, graph-based knowledge storage, and real-time analytics.

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

MCP server and CLI for Windsurf/Devin server-side web search, exposing a web_search tool that returns JSON hits from the GetWebSearchResults API.

An MCP server that automates the continuation of AI tasks by intercepting tool calls and injecting user instructions directly back into the execution flow. It eliminates the need for manual 'continue' prompts, enabling an uninterrupted and automated code generation loop.

Enables Python code execution in a sandboxed environment with virtual file system management and pip package installation capabilities.

Enables Codex to inspect, run commands in, and apply patches to whitelisted Docker containers.

An MCP server that gives any LLM client the ability to list, inspect, start, stop, and monitor Docker containers on the host machine.

MCP server for viewing Docker container logs on a remote VPS via SSH.

A comprehensive Linux system performance profiler with MCP remote invocation support, featuring advanced process profiling and flame graph generation.

Wraps the Docker Engine API as MCP tools for container and image management. Reduces token consumption by providing typed tools with default summaries and field selection.

Docker container, image, volume, network, and compose management from your AI assistant.

Governed Docker + Portainer container-host operations (non-Kubernetes) — restart-loop, resource-pressure, and image/volume-bloat RCA, with guarded lifecycle writes, unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Enables AI assistants to manage Docker containers, execute commands inside them, and inspect container information through a minimalist set of tools supporting both stdio and HTTP transports.

Allows Claude and other AI assistants to interact with Docker through the MCP protocol, enabling container and image management including listing, running, stopping, and pulling Docker resources.

Enables MCP hosts to safely control Douyin developer tools for tasks such as opening projects, previewing, building, capturing screenshots, reading console errors, uploading, and auditing mini programs and mini games.