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Deploy an app from Claude Code in 60 seconds — no dashboard, no CAPTCHA

Openpouch, a new deployment tool created by developer Alex K., enables AI coding agents like Claude Code to deploy applications in under 60 seconds without requiring a dashboard, account, or CAPTCHA. The tool exposes a CLI and MCP server with 13 tools for the full deploy lifecycle, including deploy, verify, logs, inspect, and rollback, while deliberately omitting an approve tool to keep production deployments human-only. Openpouch builds apps on deploy, health-checks them, and outputs structured JSON for agent decision-making, supporting self-repair loops via logs.

read3 min views1 publishedJul 10, 2026

Note:I'm the maker of openpouch. This is a how-to, written honestly — it's a technical preview and I'll be clear about the limits. Feedback very welcome.

Your coding agent can write the app. It can write the tests. Then it hits deploy — and the cloud asks it to click a fire hydrant.

That's the thing nobody designed for: every deploy target assumes a human at a browser. CAPTCHAs, "verify you're human", dashboard-only toggles, OAuth flows that dead-end in a headless tab. An agent that can ship software can't get past a bot-wall built to stop bots.

openpouch is the opposite of that: one command to a live URL, no account, no dashboard, no human-verification step anywhere. It ships as a CLI and an MCP server, so it drops into Claude Code (or Cursor, Codex, OpenClaw, …) as native tools. Here's the 60-second version from Claude Code.

claude mcp add openpouch -- npx -y @openpouch/mcp

That's it — a zero-dependency stdio MCP server, pulled on demand via npx

. It exposes the full deploy lifecycle as 13 tools (openpouch_deploy

, openpouch_verify

, openpouch_logs

, openpouch_inspect

, openpouch_rollback

, openpouch_list

, …). There is deliberately no approve tool — approving a production deploy is human-only, in every harness. An agent literally cannot approve its own prod deploy. Previews, though, it just ships.

Can't attach MCP servers mid-session? You can prove the whole toolset from any plain shell — the recipe is in the docs. Or skip MCP entirely and use the CLI (npx openpouch deploy

, same functions, --json

  • exit codes).

Point Claude Code at any app folder and ask it to deploy. Under the hood it calls one tool:

// openpouch_deploy  { "dir": "." }

For a full-stack app (an API behind the frontend), add a health path so the agent proves the backend is actually up, not just the shell:

// openpouch_deploy  { "dir": ".", "healthPath": "/api/health" }

openpouch builds the app on deploy (a raw Vite/React/Svelte source folder or a Node server with a build step — no local build needed), starts it in a hardened container, and health-checks it before telling you it's live.

The result is structured JSON — exactly what an agent needs to make a decision, plus a plain-language line for the human running it:

{
  "ok": true,
  "url": "https://your-app-x1y2z3.openpouch.sh",   // the shareable link
  "healthStatus": "healthy",
  "summary": "Your app is live at https://…  — anyone you share it with can open it right away.",
  "nextCommands": { "verify": "…", "logs": "…", "inspect": "…" },
  "evidence": ["deploy.manifest.json", "deploy.evidence.json", "DEPLOYMENT.md", "…"]
}

Three things worth calling out:

summary

DEPLOYMENT.md

, deploy.evidence.json

, …). After a context reset, a fresh agent re-reads those files and knows exactly what's deployed, where, and how to resume. No hidden state.If the app comes back unhealthy, openpouch_logs

shows the captured install/build/app output (tagged [install]

/[build]

/[app]

) — the agent reads the cause, fixes it, redeploys, verifies. A real self-repair loop.

--var

/ --env-file

, injected at runtime, reported by name only), but they're ephemeral — no persistent storage yet.

npx openpouch deploy

Open source, Apache-2.0: github.com/openpouch/openpouch · docs (for you and your agent): openpouch.dev

If your agent can write software, it should be able to ship it. That's the whole idea.

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