"Octopus Deploy" matching MCP servers:

Wraps the Claude Agent SDK as MCP servers, letting you spawn multiple specialized Claude Code agents — each with its own model, tools, system prompt, and personality — from any MCP client.

Enables AI agents to deploy applications and manage servers over SSH using natural language commands, with built-in tools for Python bots, Docker Compose, and SSL setup.

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

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.

Enables one-click deployment of static websites and HTML files to IPFS through Pinme. Automatically detects common build directories (build, dist, out, .next), uploads to IPFS, and provides ENS URLs for accessing deployed sites.

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

A shared memory and coordination layer for AI coding agents that provides a tamper-evident timeline, conflict awareness, and attribution for multi-agent coding workflows.

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.

An MCP server for the ProveTrade trade-audit stack that lets models validate CSVs, run paid audit runs, and check service health/deploy status via typed tools.

Enables AI agents to deploy HTML and pull reviewer comments via the briefroom CLI without spawning shells.

An MCP server that converts Apache Airflow DAGs into Prefect flows. It provides tools to read DAGs, lookup translation knowledge, validate code, search Prefect docs, scaffold projects, deploy, and generate migration reports.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

MCP server exposing 570 config-driven dev tools across plan, develop, QA, feedback automation, and deploy stages, with meta-tools for searching and running them via natural language.

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

Deploy static HTML folders to permanent vibie.page URLs from Claude, Cursor, or any MCP client. One-line auto-install wires up the config, OAuth device-flow handles auth, and a folder marker lets repeat deploys skip the slug.

Enables AI agents to build, test, deploy, invoke, and inspect Soroban smart contracts on the Stellar network through structured MCP tools and resources.

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

Enables AI to read and analyze repository incident scan results, including file diffs and summaries, to help investigate suspicious changes. It is read-only and does not execute code or send data externally.

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