"Octopus Deploy" matching MCP servers:

Allows AI assistants to deploy static frontend directories to Surge.sh via a single command, without requiring local Surge installation.

Enables AI coding tools to scaffold, build, and deploy Node.js or Python apps to Varity with a single command, automatically provisioning databases and backend services.

A hardened, self-hosted MCP server that lets AI agents query and govern an Infraveil control plane in-loop, reading state and filing deploy/remediation requests that require human approval.

Agent-native hosting: your agent deploys any folder to a live URL in one command — no account, no dashboard, no CAPTCHA — and hands the human a link plus a plain-language summary. Full deploy lifecycle as MCP tools (deploy, verify, logs, inspect, rollback), production approval human-only; static sites and full Node.js apps, open source (Apache-2.0).

MCP server for Shipstatic — deploy and manage static sites from AI agents. Works with Claude Code, Cursor, VS Code Copilot, and any MCP-compatible client.

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

Enables coding agents to deploy and manage game server containers on Edgegap, from creation through player connection, without manual API reference.

A simple MCP server that provides a basic greeting tool and serves as a starter template for AWS Lambda deployment. Demonstrates how to build and deploy MCP servers with both local development and cloud deployment capabilities.

Enables AI agents to deploy and manage simulated AWS resources (like EC2, S3, DynamoDB) on a local Floci instance through natural language.

Enables MCP clients to inspect CloudKit container schemas, diff Development against Production, and deploy schema changes using CloudKit management tokens, with writes disabled by default.

Lets AI agents rent GPUs on Nosana, browse deployable templates, compare live GPU prices, estimate costs, and deploy or manage services like MiniMax H3 using account credits.

Enables AI assistants to deploy and manage SnapDeploy containers and resources—including builds, logs, environment variables, databases, and custom domains—directly through natural language.

Enables AI agents to create, check, deploy, and host static sites, manage files and forms, configure custom domains, and view quotas and analytics through a hosted MCP endpoint.

Enables MCP-speaking agents to deploy and operate applications on gagarin by translating every tool call into an authenticated request to the gagarin API, using the caller's own credential.

Enables AI agents to search Vast.ai GPU marketplace, deploy compute-heavy video models or ComfyUI, and guarantee instances are torn down after the job finishes.

A MCP server do create and deploy backend applications using https://heim.dev

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.

Deploy and manage Bult.ai cloud hosting projects from MCP clients like Cursor, Claude Desktop, and Claude Code. Create projects and services, deploy GitHub repositories or Docker images, manage routes and volumes, inspect logs, and troubleshoot deployments from your AI assistant.

Enables AI clients to deploy static sites, track deployments, and manage sites on a Shiplo account through the Model Context Protocol.

Deploy Claude-generated websites to EliteSpec hosting in one tool call. deploy_site / update_site / list_sites tools give the model a live URL on elitespec.co.nz seconds after writing HTML/CSS/JS.