"How to deploy Docker on a server through SSH" matching MCP servers:

More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.

Universal deployment tracker for AI assistants, enabling real-time monitoring and management of deployments across Vercel, Netlify, and Cloudflare Pages without context switching.

Enables AI agents to manage Docker containers through a secure MCP interface, supporting container lifecycle operations, log inspection, resource monitoring, and system diagnostics with role-based access control.

A read-only MCP server that exposes your Docker daemon, allowing AI assistants to list containers, inspect their details, and fetch logs without write access.

Enables natural-language management of Docker containers, images, volumes, and networks, with autonomous diagnosis and remediation of container failures through a multi-agent system.

Enables AI assistants to manage remote servers via SSH with 14 commands for execution, file transfer, auditing, and monitoring.

A secure SSH MCP server that enables execution of read-only diagnostic commands over SSH, preventing modifications to remote systems.

Enables local LLM agents to inspect Docker containers and optionally perform guarded restarts through MCP, with read-only defaults, credential redaction, canonical ID checks, denylists, and bounded daemon timeouts. It provides secure, zero-trust Docker daemon access for MCP clients.

Provides Kubernetes deployment intelligence with typed query tools and AI-synthesized risk briefs, enabling users to list workloads, get detailed snapshots, query Prometheus metrics, record deployment history, and generate risk assessments before promoting to production.

Effortlessly orchestrate and oversee Docker environments from anywhere, using natural, conversational commands.

Enables MCP clients to list SSH hosts, test reachability, retrieve Linux resource metrics, index and search project files, and run remote SSH commands when allowed, with local-first and safety-focused operations.

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

Provides read-only server monitoring and diagnostic tools for AI assistants to manage Linux and Unraid systems via SSH. It enables natural language interactions for container management, storage health checks, and system log analysis while keeping credentials secure.

Enables AI agents to manage remote servers via SSH, including command execution, multi-host batch operations, SFTP file transfer, background job handling, DevOps diagnostics, port tunneling, and safety guardrails like high-risk command blocking and read-only mode.

Enables AI assistants to inspect, query, and diagnose problems within Octopus Deploy instances. Provides read-only access to deployments, releases, projects, environments, and other DevOps resources to transform AI into your ultimate DevOps wingmate.

Enables safe VPS diagnostics and Docker/Docker Compose management over SSH, providing predefined read-only and mutating tools for system monitoring, container inspection, and Compose orchestration without exposing arbitrary shell execution.

MCP server that diagnoses ML model regressions by correlating drift reports, eval runs, and deploy logs, providing evidence-cited incident reports through a set of investigation tools.

Enables generating on-chain attestations of agent service performance across Ethereum, Polygon, Arbitrum, Optimism, and Base, plus audit trail retrieval, attestation verification, and price lock lookup.

A read-only MCP server that exposes controlled SSH tools to inventory, document, and prepare operations on WealthTech servers for AI assistants like ChatGPT and Codex.

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

MCP server for On-Call Health burnout analysis. Connects AI assistants to your on-call data for workload insights.

Enables AI assistants to explore a PostgreSQL database, run bounded read-only SQL, inspect query plans, test hypothetical indexes, find slow queries, and check database health with compact CSV output.

Deploys 25 MCP tools for Apache Doris, enabling SQL execution, metadata queries, monitoring, and data governance over HTTPS via AWS Bedrock AgentCore Runtime.

MCP server for IBM QRadar SIEM that consolidates 728 REST API endpoints into 4 intelligent tools, enabling natural language interaction for security tasks like managing offenses, assets, rules, and reference data.

Enables AI agents to monitor server health and capacity, diagnose outages, inspect Docker and deployment status, and perform safe, bounded recovery actions via MCP without granting unrestricted shell or SSH access.

Enables agents to query GPU availability across SSH hosts, find free GPUs, list hosts, and inspect fleet status using only nvidia-smi on the remote side.

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

Read-only MCP server for on-prem Linux VMs and PostgreSQL over SSH. Check service health, retrieve bounded logs, inspect DB state, and explore table schemas — without terminal access.

Enables AI coding assistants to search local log files, inspect Docker containers, and clean up JSON payloads through a local stdio MCP server.