"docker" matching MCP servers:

Enables secure Docker command execution from isolated environments like containers through MCP protocol. Provides tools for managing Docker containers, images, and Docker Compose services with security validation and async operation support.

A project that integrates Model Control Protocol with OpenAI's API, allowing OpenAI to access and utilize tools exposed by a dockerized MCP server.

MCP bridge for Kimi Code native AgentSwarm with inference through ai&. Supports authenticated Streamable HTTP MCP and Docker deployment.

Orchestrate parallel Claude agent workloads via Docker containers with combinators for parallel execution, map-reduce, and pipeline workflows.

Enables AI agents to deploy and manage Docker containers on your own machine via MCP tools, providing public HTTPS URLs through free Cloudflare quick tunnels.

Persistent tmux-backed MCP server that lets Claude Code control Codex CLI's interactive TUI, including slash commands and $imagegen. Run local shells, SSH, Docker, WSL, REPLs, and supported coding agents through durable PTY sessions.

Exposes vLLM capabilities to AI assistants, enabling chat completions, model management, and platform-aware container control with automatic detection of Docker/Podman and GPU availability across Linux, macOS, and Windows.

CloakBrowser MCP server for AI agents: Playwright-powered browsing, clean tool forwarding, Docker support, and multi-session HTTP transport.

Unified Model Context Protocol server that bundles Slack, GitHub, Jira, PostgreSQL, Redis, AWS, webhooks, and email into one lightweight Docker container, providing a single REST API and web dashboard for AI agent integration.

A unified mesh control layer that provides 30 MCP tools for managing distributed infrastructure, enabling AI agents to execute commands, transfer files, and manage Docker containers across multiple nodes. It features persistent SSH2 connection pooling and cross-node configuration synchronization to unify disparate servers into a single interface.

A passive MCP server that exposes a toolbox of executable tools (shell, network, HTTP, AI search, SSH, S3 file operations) to autonomous agents via Streamable HTTP, with strong security features including Docker sandboxing and WAF.

A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.

Enables AI agents to operate a real, private, local Docker-based computer with durable files, terminal access, web research, and a persistent browser or desktop. It supports multiple agent clients via MCP or OpenAPI, with live viewing and human takeover.

Enables autonomous multi-agent orchestration using directed acyclic graph workflows to interact with external developer infrastructure such as Git, Postgres, and Docker through safety-gated MCP servers.

Provides intelligent weather services through an orchestrated multi-server architecture with Docker support, enabling natural language weather queries, forecasting, and alert monitoring powered by local LLM integration.

Self-hosted MCP governance gateway that aggregates 150+ tools behind policy profiles (strict/balanced/dev) with a per-call audit trail. Python 3.12/FastAPI, Docker-deployable, built for regulated environments that need observability over agent tool calls.

Enables AI assistants to manage Docker/Podman deployments through Komodo, supporting container management, server orchestration, and infrastructure control via natural language.

Open-source, Windows-first control plane for operating local and homelab services through typed MCP servers, featuring 13 servers and 290 tools with infrastructure adapters for Windows, Ubuntu, Docker, and more.

Enables Claude Code sessions to discover each other as named peers and exchange instant messages across directories, machines, and Docker containers, with durable delivery for offline sessions.

Deterministic execution engine for AI agents. 412 modules across 78 categories including browser automation, file I/O, Docker, data parsing, crypto, and scheduling. Supports STDIO and Streamable HTTP transport with execution trace, evidence snapshots, and replay from any step.