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

Enables agents to verify that a deploy actually worked by checking pages, links, and comparing environments, catching blank 200 responses, broken links, stray noindex, and staging that never updated.

MCP server for deploying projects to multiple cloud platforms (Vercel, Railway, Neon, MongoDB Atlas, Docker) and running local dev servers, with orchestration for full-stack deployments.

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

Manages Docker containers, images, and Compose stacks on a remote host over SSH, with file sync and deploy orchestration.

A Model Context Protocol server that provides tools for interacting with Docker images, containers, and registries, enabling AI assistants to search, analyze, and manage Docker resources through a standardized interface.

Enables AI coding assistants to deploy websites directly to Vercel from the IDE, automating framework detection, build validation, and secure environment variable synchronization, with live status updates.

Enables agents to deploy software via GitHub Actions only with a signed receipt, providing gated tools to resolve refs, list deployments/environments, and dispatch pipelines for a specific commit.

Enables automated deployments, environment management, snapshots, and deployment monitoring through DevOps Deploy's REST API.

A comprehensive MCP server that provides advanced Docker operations through a unified interface with 16 MCP tools and 25+ CLI aliases, enabling secure container lifecycle management, multi-container orchestration, registry publishing, and system maintenance.

A server that enables interaction with Octopus Deploy through the Model Context Protocol, allowing users to manage projects, releases, and deployments across different spaces.

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.

Enables running deterministic package.json checks for Next.js, Expo, and Convex projects via a read-only stdio tool, returning JSON findings usable by CI and coding agents.

Enables deploying, inspecting, and managing serverless functions on the MetaCall FaaS platform through a Model Context Protocol interface. Supports uploading zip packages, triggering deployments, retrieving logs, listing repositories and subscriptions, and invoking deployed functions with token-based authentication.

An MCP server that helps Claude design, scaffold, and validate MCP servers compatible with the mcp-deploy platform, enabling seamless creation and deployment of new MCP workers.

Enables AI assistants to manage website deployments over SFTP/FTPS by listing sites, testing connections, comparing files, previewing changes with approval tokens, creating SHA-256 verified backups, and executing authorized uploads.

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS servers.

An MCP server that adds engineering discipline to AI-assisted development, enforcing evidence-gated TDD, security review, backup strategy, and deployment generation to turn AI-generated code into production-ready software.

Enables AI agents to deploy, manage, and configure web applications on sota.io, including project creation, deployment, environment variables, custom domains, and rollbacks.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

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.

Connects AI assistants to an Octopus instance so they can inspect, query, and diagnose deployments, projects, releases, runbooks, tasks, tenants, targets, and other resources, and optionally create releases, trigger deployments, run runbooks, or call the REST API directly. Supports read-only mode, toolset selection, and API key or short-lived token authentication.

Enables AI assistants to inspect, query, and diagnose problems within an Octopus Deploy instance, with tools for projects, deployments, releases, runbooks, tasks, tenants, Kubernetes, targets, certificates, accounts, and approvals, plus a structured REST backstop. Runs read-only by default-optional write and delete modes so assistants can also create releases, deploy, and run runbooks under confirmation.

Enables AI assistants to connect to an Octopus instance to inspect, query, and diagnose deployments, and optionally create releases, deploy releases, run runbooks, and adjust feature toggles.

Enables AI assistants to inspect, query, and diagnose problems within an Octopus instance, and optionally create releases, deploy releases, run runbooks, and adjust feature toggles through MCP tools.

Connects AI assistants to an Octopus instance so they can inspect, query, and diagnose deployment state, and, when write tools are enabled, create releases, deploy them, and run runbooks. Supports read-only mode and toolset scoping for safer, more controlled access.

Enables AI assistants to inspect, query, and diagnose issues in an Octopus Deploy instance and perform release, deployment, runbook, and feature-toggle operations through MCP tools, with read-only and write-confirmation controls.

Enables AI assistants to inspect, query, and diagnose an Octopus instance and, when write access is enabled, create releases, deploy releases, run runbooks, and adjust feature toggles.

Lets AI assistants inspect, query, and diagnose an Octopus Deploy instance, covering projects, releases, deployments, runbooks, tasks, tenants, Kubernetes, machines, certificates, and accounts. Supports read-only operation plus gated write actions such as creating releases, deploying them, and running runbooks through natural language.

Enables AI assistants like Claude Code and ChatGPT to inspect, query, and diagnose problems within an Octopus instance, and optionally create releases, deploy them to environments and tenants, and run runbooks. Tools are grouped into toolsets covering projects, deployments, releases, runbooks, tasks, tenants, Kubernetes, machines, certificates, accounts, and interruptions, with a read-only mode for production use.

Enables AI assistants to connect to an Octopus instance so they can inspect, query, and diagnose deployments while managing projects, releases, runbooks, tasks, tenants, deployment targets, and certificates through natural language. Supports read-only or write-enabled modes with configurable toolsets and a REST backstop for API operations.