AI agent tools for deployment
Short answer: Our top pick for deployment: devopness, with the highest AgentPick Score (69/100) among tools tagged "deployment". Runners-up: mcp-ssh-manager (66) and coolify-mcp (65). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | devopness | Devopness: AI DevOps on your cloud. Deploy apps, infra and CI/CD. Any cloud and any stack, one MCP. Deterministic API, opinionated and fully configura… | 69/100 | ★ 570 | Apache-2.0 | 14 Oct 2026 |
| #2 | mcp-ssh-manager | MCP SSH Server: 37 tools for remote SSH management | Claude Code & OpenAI Codex | DevOps automation, backups, database operations, health monitoring | 66/100 | ★ 506 | MIT | 9 Oct 2026 |
| #3 | coolify-mcp | MCP server for Coolify — 42 optimized tools for managing self-hosted PaaS through AI assistants | 65/100 | ★ 611 | MIT | 14 Oct 2026 |
| #4 | golive-skill | Take your agent-built product live: hosting, database, domain, email, payments — on your own accounts. Open-source Agent Skill + zero-dependency Node … | 63/100 | ★ 1.3k | MIT | 11 Oct 2026 |
| #5 | nixopus | Run production apps without thinking about infrastructure. On your server or ours. Fully agentic. | 59/100 | ★ 1.5k | See repo | 11 Oct 2026 |
| #6 | agents-towards-production | End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment. | 50/100 | ★ 22k | See repo | 21 Sept 2026 |
| #7 | agentscope-runtime | A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scalable deployment, full-stack observabilit… | 45/100 | ★ 876 | Apache-2.0 | 4 Jun 2026 |
| #8 | kubectl-mcp-server | Published in CNCF Landscape: A MCP server for Kubernetes. | 28/100 | ★ 964 | MIT | 8 Apr 2026 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Grant the narrowest permissions the server allows.
- Check whether it runs locally or calls a remote service.
- Prefer servers listed in the official MCP registry.
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