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제작자가 쓴 설명(영어 원문)
Session-bound Docker workflow server through Codex. State is discarded with the container.
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.
OPENAI_API_KEY, WORKFLOW_MCP_CONCURRENCY비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
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": {
"workflow": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"OPENAI_API_KEY",
"-e",
"WORKFLOW_MCP_CONCURRENCY",
"docker.io/juliusolsson/workflow-mcp@sha256:4b6889f9e78d0208e6d1d343ba23d0c5d092b1a1513a73c9c85deb2d00ab5855"
],
"env": {
"OPENAI_API_KEY": "your-value",
"WORKFLOW_MCP_CONCURRENCY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add workflow --env OPENAI_API_KEY=your-value --env WORKFLOW_MCP_CONCURRENCY=your-value -- docker run -i --rm -e OPENAI_API_KEY -e WORKFLOW_MCP_CONCURRENCY docker.io/juliusolsson/workflow-mcp@sha256:4b6889f9e78d0208e6d1d343ba23d0c5d092b1a1513a73c9c85deb2d00ab5855실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"workflow": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"OPENAI_API_KEY",
"-e",
"WORKFLOW_MCP_CONCURRENCY",
"docker.io/juliusolsson/workflow-mcp@sha256:4b6889f9e78d0208e6d1d343ba23d0c5d092b1a1513a73c9c85deb2d00ab5855"
],
"env": {
"OPENAI_API_KEY": "your-value",
"WORKFLOW_MCP_CONCURRENCY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"workflow": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"OPENAI_API_KEY",
"-e",
"WORKFLOW_MCP_CONCURRENCY",
"docker.io/juliusolsson/workflow-mcp@sha256:4b6889f9e78d0208e6d1d343ba23d0c5d092b1a1513a73c9c85deb2d00ab5855"
],
"env": {
"OPENAI_API_KEY": "your-value",
"WORKFLOW_MCP_CONCURRENCY": "your-value"
}
}
}
}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.
WORKFLOW_MCP_CONCURRENCY env이 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 7일 점검
레지스트리 이름이 GitHub 계정 Juliusolsson05 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.
입력해야 할 값: OPENAI_API_KEY
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(1.1.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 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.
Workflow MCP runs Claude-compatible JavaScript workflow definitions as durable Codex-backed MCP jobs without requiring Agent Code. Docker owns the runtime, Codex CLI, credentials, state, and process isolation; normal operation needs no host Node.js, Codex, or Agent Code installation. The host runtime needs a local Docker Engine or Docker Desktop plus Compose. The verified release bootstrap also needs GitHub CLI (gh), tar, sha256sum or shasum, and a POSIX shell; Windows uses PowerShell 7 plus the corresponding built-in archive/hash commands.
Codex's Linux Bubblewrap boundary requires unprivileged user namespaces on the Docker host. Docker Desktop supplies that Linux-VM capability. Native Linux operators must allow the container runtime to create nested user namespaces; Ubuntu 24.04 enables an AppArmor restriction that can deny them unless the administrator supplies an appropriate AppArmor policy or changes the documented kernel.apparmor_restrict_unprivileged_userns host setting. Hosts that expose kernel.unprivileged_userns_clone must also enable it. Docker's default seccomp and AppArmor profiles separately block the namespace syscalls and mount propagation Bubblewrap needs, so the published Compose and OCI Registry profiles apply per-container seccomp=unconfined and apparmor=unconfined exceptions. Those exceptions enable the inner Codex sandbox; they do not disable it. The container remains non-root with every capability dropped, no-new-privileges, read-only mounts, and bounded resources. The launcher and doctor fail closed when the real sandbox probe cannot start. Do not replace this runtime shape with a privileged container, added capabilities, writable outer mounts, or a disabled Codex sandbox. See the Docker runtime-security options and the Ubuntu 24.04 security notes.
The normal installation is one long-lived daemon per project. Codex connects to a tiny STDIO proxy with docker compose exec; disconnecting one MCP client therefore does not cancel the daemon or its runs. A session-bound STDIO image mode also exists for generic OCI/MCP registries, but it has a narrower lifecycle contract.
One command, in the project directory, after the matching release is published:
curl -fsSL https://github.com/Juliusolsson05/workflow-mcp/releases/latest/download/install.sh | sh
The script needs only Docker. It pulls the release image pinned by immutable digest (the digest is baked into each released copy of install.sh, so the convenience URL never decides which bytes run), renders the checksummed install bundle from that image, installs the project-scoped launcher, writes the Codex stanza, starts the daemon, and installs a global workflow-mcp PATH shim so every later command is just workflow-mcp from anywhere inside the project. If the host has a Codex login (~/.codex/auth.json), the daemon inherits it read-only — no second login. The tokenless read-only dashboard comes up on http://127.0.0.1:7331 unless --no-web or the port is taken by another instance.
Operators who want to verify publisher attestations and checksums by hand before executing anything should follow the hardened bootstrap in SECURITY.md, which downloads and verifies the same bundle without piping anything to a shell.
Installation creates /.workflow-mcp/, writes one marked project-local Codex MCP stanza to /.codex/config.toml, pulls the image pinned by digest, and records stable instance, Compose project, Docker context, Docker Engine ID fingerprint, project, and named-volume identities. Machine-specific files are gitignored. In the default profile agents read the whole mounted project but the managed Codex permission profile currently grants write only under `.claude/workflows` (the authoring subtree) — the project bind is writable at the container layer, yet an agent commanded to edit other project files is denied by policy, so a workflow that rewrites source will not succeed today. Broadening agent writes to the rest of the project is deliberately deferred to a separately threat-modeled writable-subtree profile (an agent is a prompt-injectable LLM, so widening its reach is not a default). Meanwhile the container root filesystem stays read-only, the daemon stays UID/GID 10001:10001, /data and every secret mount stay unreadable to agent commands, and the project .codex directory stays masked. Install with --hardened to restore the original shipped posture: read-only project bind, startup/durable source approvals, token-gated web, and isolated container-only credentials, all from one recorded profile bit.
Use --no-codex if another configuration manager owns config.toml. instance codex-config inside the image can render the exact stanza for recovery.
If the host already has a Codex login, the daemon inherits it and you do not need to log in at all — workflow-mcp doctor and auth status will report Authenticated. Only if there is no usable host credential do you run:
workflow-mcp auth login
This uses Codex's device-code flow, which your ChatGPT account must permit — if device authorization is disabled in your ChatGPT security settings, this command fails until you enable it (or supply an API key at install with --api-key-file). Host-login inheritance is the path that avoids this entirely.
That is a Codex device login owned by the container: it prints a URL and code, and writes a real credential into the container's own Codex home. It always works, and a container login always wins over anything inherited.
Host-login inheritance is a best-effort convenience, not a promise. Install detects ~/.codex/auth.json (honoring CODEX_HOME) and mounts it read-only as a seed for the container's writable Codex home; when that seed is usable you never need to log in at all. But a host ChatGPT/subscription login carries account and configuration state beyond that one file, so the seed can copy cleanly and still leave the containerized Codex unable to authenticate. The daemon therefore verifies the inherited credential by asking Codex itself rather than assuming a readable file means "configured" — auth status reports it honestly, and if it cannot authenticate, the fix is the one auth login above. Use --no-host-auth at install to skip detection entirely; --hardened also disables inheritance.
For the explicit non-interactive path, put only the key in an ordinary non-symlink file and bind its absolute path at installation (an explicit API key always wins over host inheritance):
umask 077
printf '%s\n' "$OPENAI_API_KEY" > /absolute/private/openai-api-key
setfacl -m u:10001:r /absolute/private/openai-api-key ./workflow-mcp-bundle/workflow-mcp-docker install /absolute/project \ --api-key-file=/absolute/private/openai-api-key /absolute/project/.workflow-mcp/workflow-mcp-docker up
Compose presents that file as /run/secrets/openai_api_key; it is not copied into the installation, run records, logs, or backup. Removing or rotating the host file affects the next container start.
Interactive device login is daemon-owned and refuses account mutation while a workflow is active:
./workflow-mcp-docker auth status
./workflow-mcp-docker auth login ./workflow-mcp-docker auth logout
The login stream travels over the private admin Unix socket. Do not call codex login through a separate docker compose exec: that would create an uncoordinated writer to the shared Codex home.
The generated Codex stanza runs the installed, project-scoped launcher:
/absolute/project/.workflow-mcp/workflow-mcp-docker mcp-proxy
The launcher revalidates instance/context identity and reconstructs every recorded Compose overlay before entering the proxy. The proxy keeps stdout exclusively for MCP JSON-RPC and authenticates to the loopback daemon with the MCP token stored in the named volume. It exposes fourteen tools:
workflow_list, workflow_author_guide, workflow_describe, and workflow_validate discover definitions and teach authoring;workflow_run, workflow_resume, and workflow_run_cancel mutate durable run state;workflow_run_status and workflow_run_events follow a run by strict cursor; andworkflow_run returns immediately. Keep polling workflow_run_events from the returned cursor or read workflow_run_status; MCP transport lifetime is not run lifetime.
The terminal UI and status command are read-only clients of the daemon:
./workflow-mcp-docker status
./workflow-mcp-docker status --json ./workflow-mcp-docker ui
The interactive UI uses 1–5 or Left/Right for runs, workflow result, agent result, transcript, and diagnostics. Use Up/Down to select or scroll, [/] to change the selected run outside the run-list view, Tab/Shift-Tab to change agents, and n/p/g for next, retained previous, and first page. Inventory, result, and transcript cursors keep a fixed 32-entry history; only the current content page is retained in memory. ui --snapshot is the non-interactive, non-ANSI fallback.
The browser UI is on by default: open http://127.0.0.1:7331 and the dashboard loads with no token. What replaced the bearer is invisible and free: the port binds to loopback only, foreign Host headers are refused (which defeats DNS rebinding — a rebound name arrives carrying the attacker's Host), cross-site Origins are rejected, the API is GET-only, and there is no cancel, approval, auth, token-rotation, backup, or project-write route to protect in the first place. Inventory, result, and transcript controls page through bounded API responses and replace the current content page instead of accumulating an unbounded DOM transcript. Choose the port with install --web-port=PORT, opt out with --no-web; under --hardened the web API requires the bearer from token --purpose=web again, and the page shows its token form when it sees a 401.
Web publication requires Docker Engine 28.3.3 or newer because earlier engines had a loopback publication bypass. An explicit --web-port below that floor is refused; the web-on-by-default detection simply downgrades to no web UI with an upgrade hint. Base/terminal/MCP operation does not publish a host port and does not impose that web-specific floor.
The default profile is built for one person on their own machine. Authoring is on: Codex can call workflow_run with an inline script, the source is persisted under the project's .claude/workflows, and it runs immediately — no approval command exists between an agent writing a workflow and executing it, because the operator launched this MCP against their own project and the workflow is their own agent's output. The MCP server instructions ship the complete authoring format on connect, so a fresh client needs no example files to learn the DSL.
--hardened restores the original review posture from a single recorded bit:
.claude/workflows/*.js files are approved at daemon startup by canonical identity and exact SHA-256 bytes; inline MCP source fails with authoring-disabled before any project filesystem operation. Combine with --authoring for the narrow writable-.claude/workflows overlay: the launch앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요