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제작자가 쓴 설명(영어 원문)
Agent-native hosting: deploy any folder to a live URL in one command. No approve tool.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"openpouch": {
"command": "npx",
"args": [
"-y",
"@openpouch/mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add openpouch -- npx -y @openpouch/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"openpouch": {
"command": "npx",
"args": [
"-y",
"@openpouch/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"openpouch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@openpouch/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 openpouch 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.4.0)은 4개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
**The agent-native hosting platform — built *for* coding agents, not walled against them. Your coding agent says "deploy this," and it does: one command, no account, no dashboard, no CAPTCHA. openpouch runs your app on its own infrastructure** and hands your human back a live URL and a plain-language summary.
Your app is the joey; openpouch carries it safely. 🦘
Status: live. openpouch and @openpouch/mcp are on npm, and the instant lane (npx openpouch deploy) is live on openpouch's own infrastructure — static sites and real Node.js apps in hardened containers, with server-side build-on-deploy. Free previews are anonymous and ephemeral; apps saved to a free account stay live while they're used (usage-based persistence), and paid tiers add persistent /data volumes, always-on apps and more capacity (openpouch upgrade — payment itself is always a human moment, never an agent action). APIs are still young and feedback shapes them — issues welcome.
Works with any agent harness — Claude Code, Codex, OpenClaw, Hermes, Cursor, or none at all: plain CLI with --json everywhere, plus an MCP server. Setup snippets per harness: docs/HARNESSES.md.
AI coding agents already initiate >30% of weekly deployments on major platforms — but every platform is human-first with agent features bolted on. Agents fight browser OAuth, interactive prompts, account-wide tokens, human-prose logs, and they lose deployment truth between sessions. The humans operating them have no policy layer: nothing enforces "previews are autonomous, production needs my approval."
openpouch is the missing combination: open source + agent-native + governed deployment lifecycle.
Deploy any folder to a live URL in one command — no account, no provider key, no setup:
npx openpouch deploy
You get a live https:// .openpouch.sh preview plus a claim link. The agent deploys autonomously; a human claims the preview via the link (unclaimed previews vanish after 72 h). openpouch writes the deployment truth (deploy.manifest.json, deploy.evidence.json, DEPLOYMENT.md) back into your repo, so any agent can pick up where the last one left off.
Prefer your own provider? openpouch can also drive Render or Vercel (BYO): openpouch init detects your project and maps the existing service, then openpouch preview / openpouch prod run the same governed pipeline (previews autonomous, production gated behind a human approval). The product itself, though, is openpouch's own hosting — see docs/INDEX.md.
We commission independent agent harnesses to test openpouch end-to-end (build an app from scratch, deploy, verify, report) — their own words:
"OpenPouch currently feels genuinely agent-native." — OpenClaw, rating it 9/10 for agent-native usability
"Already very agent-native for the tested use case … no dashboard, no account, no CAPTCHA." — Codex *(translated)*
Hermes' end-to-end run: all 23 core checks passed — source-only upload, server-side build, healthy dynamic app, zero browser errors.
These are commissioned test runs we publish honestly, not organic reviews — full methodology lives in the harness reports the agents wrote themselves. Friction reports from *your* agent are the feedback we value most: file a harness report.
Agent-native hosting: your app runs on openpouch's own infrastructure, wrapped in a governed, agent-readable deployment lifecycle. Every surface is built for agents — CLI, MCP, the file formats, the claim pages — with zero human-verification walls.
openpouch deploy/init/inspect/plan/preview/prod/approve/verify/logs/rollback/list/delete/signup/activate/whoami/feedback) — zero-config detection, --json everywhere, meaningful exit codes, machine-readable errors with fix hints, and a plain-language summary to relay to your (possibly non-technical) humandeploy.manifest.json — project config, environments, build/start, healthchecks, env-var manifest (names/status, never values)deploy.policy.json — what agents may do per environment; approval rulesDEPLOYMENT.md + deploy.evidence.json — what is live (URL, commit, time, smoke results, rollback anchor)Safety, non-negotiable: read-only by default; previews can be autonomous; production requires a signed, single-use approval granted by a human in an interactive terminal; no destructive action class in the governed/production lane (the only delete is openpouch delete — owner-scoped self-service removal of your own ephemeral instant preview, not approval-gated by design); secret values never enter model context; full audit trail. Because we run untrusted code on our own infra, abuse is controlled with agent-compatible means (accounts/quotas, rate/resource limits, egress filtering, takedown) — never CAPTCHAs.
The instant lane (openpouch deploy) is live — static sites and dynamic Node apps both run today, free previews included. Since 0.3.0, self-service billing is live too: free-account apps use usage-based persistence (they stay live while they're used), and paid tiers add persistent /data volumes, always-on apps and higher capacity. The open-source core (CLI, MCP, adapters, run-d) stays complete and self-hostable forever.
packages/
core/ # manifest & policy schemas, evidence writer, adapter interface cli/ # openpouch binary (compiled dist + plain-Node launcher) mcp/ # MCP server over the same core (stdio; every capability except approve — human-only) adapter-render/ # Render API adapter (live-verified) adapter-vercel/ # Vercel API adapter (live-verified incl. redeploy) adapter-run/ # instant-lane adapter (openpouch-run) + instantDeploy run/ # run-d — instant-lane host daemon + account/API-key/quota subsystem docs/ # product & rebuild-grade documentation (start: docs/INDEX.md) llms.txt # agent-facing entry point (llmstxt.org format)
All documentation must be complete enough that any developer or AI harness can understand and functionally rebuild the project from the docs alone: business rules, data model with units, full API reference, workflows, architecture, test gates, and a rebuild guide with acceptance criteria — derived from actual code, with an index separating current truth from history.
good first issue marks mentored entry points.Apache-2.0 (decided 2026-06-12; explicit patent grant — see LICENSE and NOTICE).