Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Project context, backlog tasks, and controlled workflows for coding agents. OAuth sign-in.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://aictrl.dev/mcp在终端中运行这条命令
claude mcp add --transport http aictrl https://aictrl.dev/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"aictrl": {
"url": "https://aictrl.dev/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"aictrl": {
"type": "http",
"url": "https://aictrl.dev/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://aictrl.dev/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 aictrl.dev 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.0-beta.3)于9天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
只显示了开头部分;其余内容请在仓库中阅读