Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Project context, backlog tasks, and controlled workflows for coding agents. OAuth sign-in.
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.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://aictrl.dev/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http aictrl https://aictrl.dev/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"aictrl": {
"url": "https://aictrl.dev/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": {
"aictrl": {
"type": "http",
"url": "https://aictrl.dev/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://aictrl.dev/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 aictrl.dev 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
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.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0-beta.3)은 9일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, DepTime
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
What changed in a Python library, in which release, and what replaces it. Answered locally.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Essential, vendor-neutral AI engineering skills for the AI SDLC: turning bug reports and requests into well-defined issues, root-cause analysis, implementing changes, code review and explaining pull requests. Install the skills alone, or install the aictrl.dev plugin to add the same skills plus OAuth-connected workflows that run in the cloud on aictrl.dev, turning backlog work into reviewed pull requests.
The hosted aictrl MCP server gives coding agents access to project context, backlog tasks, code-review findings, and controlled workflow execution. Connect to https://aictrl.dev/mcp using Streamable HTTP and sign in with OAuth. No API key or local server process is required.
You need an aictrl account and membership of an aictrl organization. Repository-backed work also needs a GitHub repository connected through the aictrl GitHub App. Access follows your organization membership; workflow execution follows the published workflow's permissions and approval gates.
GitHub Copilot in VS Code:
https://aictrl.dev/mcp. Name the server aictrl and choose the configuration destination.See VS Code's MCP setup guide for configuration destinations and server controls.
In other MCP clients, add the same remote URL and complete OAuth when prompted. The Claude Code and Codex plugins below already include the MCP configuration. See SETUP.md for connection checks and troubleshooting.
Try these prompts after connecting:
This public repository contains the skills, client configuration, and registry metadata for the hosted service. The hosted server's source code is private.
Skills only — Codex, Claude Code, OpenCode, and compatible agents
npx skills add aictrl-dev/skills
Claude Code plugin
/plugin marketplace add aictrl-dev/skills
/plugin install aictrl@aictrl-public
Codex plugin
codex plugin marketplace add aictrl-dev/skills --ref main
codex plugin add aictrl@aictrl-public
OpenCode — install the skills with npx skills add aictrl-dev/skills, then add the connected-workflow server to opencode.json and sign in:
{ "mcp": { "aictrl": { "type": "remote", "url": "https://aictrl.dev/mcp", "enabled": true } } }
opencode mcp auth aictrl
Cursor / direct OpenCode skills — skills use the cross-tool Agent Skills standard:
git clone https://github.com/aictrl-dev/skills && cd skills
./scripts/install.sh cursor # or: opencode | all
…or copy `skills/*` into your tool's skills dir (`~/.cursor/skills`, `~/.config/opencode/skills`).
Then ask for the task naturally or invoke a supported slash command, for example /create-issue, /implement-code-change, /code-review, /create-workflow, or /execute-workflow.
| Skill | What it does | Try it |
|---|---|---|
| create-issue | Vague feature or chore → code-grounded issue with scope, acceptance criteria, tests, risks, and open questions. | /create-issue |
| create-bug | Symptoms or regression → reproducible, evidence-backed bug and regression-test requirement. | /create-bug |
| spec-review | Issue/spec → repository-grounded readiness verdict and concrete gap fixes. | /spec-review |
| implement-code-change | Issue → tested, reviewed, merge-ready PR locally or through an optional connected workflow. | /implement-code-change |
| create-pr | Exact revision + evidence → concise reviewer-ready PR title and body, with rollout and verification claims kept honest. | /create-pr |
| code-review | Exact PR head → actionable correctness, security, reliability, and test findings; no code changes. | /code-review |
| judge-review-findings | Current-head findings → TRUE/FALSE/UNCERTAIN plus FIX/DEFER/IGNORE judgments. | /judge-review-findings |
| reply-to-code-review | Accepted review findings → fixes, verification, evidence-backed replies, and bounded re-review. | /reply-to-code-review |
| root-cause-analysis | Incident or recurring failure → evidence-driven causal analysis, sibling exposure map, and prevention portfolio. | /root-cause-analysis |
| create-workflow | Workflow intent → validated aictrl.dev workflow v2 YAML with portable inline task nodes. | /create-workflow |
| execute-workflow | Published workflow → explicitly authorized, idempotent start with safe monitoring, gates, cancellation, and durable handoff. | /execute-workflow |
| design-review | Drop an HTML mock or screenshot — get a sharp, located critique across IA, value prop, hierarchy, trust/friction, and a11y. Ends with "Fix these 3 first." | /design-review path/to/mock.html |
| measurement-plan | Feature → structured measurement plan: learning objectives, metrics table, product-analytics events, warehouse changes, event pipeline. | /measurement-plan |
| recording-product-demo | Point it at a repo with a web UI — it boots the app, preps demo data/auth, records a time-locked Playwright demo synced to prepared narration from your selected speech tools, and builds a publish kit (MP4 + captions + embed). | /recording-product-demo |
| explain-change | PR, commit range, or design document → a grounded technical explainer of the design, difficult trade-offs, and real rollout state. | /explain-change |
| ui-polish | Point it at a screen — it renders phone and desktop, measures what screenshots hide (column alignment, field widths, labels, tap targets, contrast, dead space), fixes the source and re-measures until the checks pass. | /ui-polish |
| ux-testing | Point it at a page or prototype and a few tasks — AI testers act as first-time users through the accessibility tree or screenshots, success is verified from page state (not the tester's claim), then a design-review and fix loop re-tests into a before/after scorecard. Optional simulated users screen layout hypotheses. | /ux-testing path/to/page.html |
Input: a SaaS landing page mock.
Value Proposition — WEAK
Hero headline "Workflows made simple" says nothing about what the product does. Fix: replace with a one-liner that names the user, the problem, and the outcome.
Actionability — BROKEN Three competing CTAs above the fold (Start free, Book demo, Watch video). Fix: one primary CTA above the fold; demote the others below.
Every critique names the element. Every fix is concrete. No generic "improve clarity."
On an internal work-queue design, novice agent testers asked to start the most important ready work approved a security review instead (v5: 2 of 2). After the fix loop moved the ready work above the approvals, 3 of 3 started the right issue. Simulated users reproduced the same trap (72% clicked Approve), and checks against page state caught a tester who reported success after creating nothing. Write-up: AI usability testing on a backlog design.
These skills are free and standalone. aictrl.dev adds controlled remote execution, approvals, policy, history, integrations, and cost limits. implement-code-change can use an optional connected workflow, and execute-workflow safely operates an existing published workflow; local mode remains available for every launch skill except the connected-only execute-workflow.
The Claude and Codex plugins and the skills.sh install all consume the root skills/ directory directly. There are no vendor-specific copies to repin or hand-edit. Connected execution always uses the aictrl MCP identity at https://aictrl.dev/mcp; OAuth is requested only when a connected workflow is used.
The skills run locally and send nothing to aictrl.dev. The bundled aictrl MCP server is used only when you connect it with OAuth; what it collects and keeps is described in the privacy policy and terms. Support: aictrl.dev/support or info@aictrl.dev. Security reports: security.txt. Setup guidance for the MCP connection is in SETUP.md.
Bundled helpers in two skills can send data to a third-party service, only in the steps below and only when you run them. Nothing runs on install. A key is read only for its step, sent only to the service named in that row, and never printed, logged or stored. Each key belongs to the service it is sent to: Google credentials go only to Google, the TypeSafe key only to TypeSafe, and a custom simulator key only to the endpoint you set alongside it. The bundled aictrl MCP server never receives any of them.
Narration is prepared using the user's selected speech tools (for example, ElevenLabs) or supplied as audio plus measured word timestamps. Those tools receive the narration text/audio under their own configuration. The plugin does not include a narration API client or read speech-provider credentials; its splitter processes the prepared files locally.
No other skill sends data to a third-party service; the browser-based skills (ui-polish, ux-testing) load only the app URL you give them.
| Skill | Step | Service and what is sent | Environment variables read |
|---|---|---|---|
| recording-product-demo | Upload to YouTube (publish.cjs --upload with publish.upload.type youtube, opt-in) | Google (oauth2.googleapis.com, www.googleapis.com): the rendered MP4, title and description, uploaded to your own channel | YT_CLIENT_ID, YT_CLIENT_SECRET, YT_REFRESH_TOKEN |
| recording-product-demo | Upload to a bucket (publish.cjs --upload with publish.upload.type gcs or s3, opt-in) | Google Cloud Storage or Amazon S3, through your own gcloud storage cp or aws s3 cp: the whole publish kit (MP4s, poster, captions, embed page, PUBLISH.md) to the bucket path you configure | None: the CLI uses its own signed-in credentials |
| ux-testing | Simulated users (optional; agent testers need no key) | TypeSafe (api.typesafe.ai), or an endpoint you set: the page state and candidate actions for each simulated step | TYPESAFE_API_KEY (optional UX_SIM_MODEL overrides the default model), or
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요