Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
90-day AI adoption framework for managers: overview, pricing, FAQ and an AI readiness assessment.
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://airolloutframework.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http ai-rollout-framework https://airolloutframework.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ai-rollout-framework": {
"url": "https://airolloutframework.com/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": {
"ai-rollout-framework": {
"type": "http",
"url": "https://airolloutframework.com/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://airolloutframework.com/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.
도구 이름과 설명은 서버가 2026년 11월 8일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
get_framework_overviewReturns the AI Capability Rollout Framework's three phases, four capability pillars, positioning, the recommended offer and the Discord community. Use it to explain what the framework is. It does not return prices or the FAQ. To check readiness, use assess_ai_readiness.
get_pricingReturns current one-time prices and checkout links for the Framework + Executive Suite, the Framework alone, and AI at Work seats, including the seat tiers, co-branding and the Rollout Pack. Use it for the full price list, or get_seat_quote for a specific number of seats. It does
get_faqReturns published questions and answers, optionally filtered by topic. Use it for specific questions about pricing, governance, implementation or the products. It does not search the long-form guides; use search_knowledge_base for that. To check readiness, use assess_ai_readiness
get_ai_at_work_courseReturns the public outline of AI at Work, the employee AI training course: modules, what is included, seat tiers and the guarantee. Use it for questions about employee training. It does not return transcripts or quiz content. To check readiness, use assess_ai_readiness.
search_knowledge_baseSearches the framework's methodology, definitions, positioning and changelog for a phrase and returns matching sections with links to the source documents. Use it for a concept the other tools do not cover. It returns excerpts, not full documents. To check readiness, use assess_a
assess_ai_readinessRuns the 16-question AI Readiness Score on the user's behalf (rate each statement 1-5, where 1 = Strongly Disagree and 5 = Strongly Agree) and returns their readiness stage, a recommended next step, and a link to the free full assessment on the site, which includes a personalized
get_starter_kitDescribes the free AI Capability Briefing Kit, a 10-page internal briefing document, and how to get it. Use it when the user wants a free starting resource. It does not deliver the file; use email_me_the_kit when the user asks for it by email. To check readiness, use assess_ai_re
get_seat_quoteCalculates the AI at Work cost for a given number of seats (1-500), with optional co-branding. It flags when a higher tier is cheaper in total and shows the Executive Suite and Rollout Pack alternatives. It does not take an order. To check readiness, use assess_ai_readiness.
email_me_the_kitEmails the free Briefing Kit to an address the user gives you. Call only when the user has explicitly asked to receive it by email and agreed to be emailed. Never call it on your own and never invent or guess an address. It adds the address to a mailing list and sends the kit by
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 도메인 airolloutframework.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
1070ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 9개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 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(1.1.0)은 30일 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, MIDAS Gen NX / Civil NX
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ 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.
Read and carefully change the model open in MIDAS Gen NX or Civil NX on this PC.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
This folder is the machine-readable knowledge base for the AI Capability Rollout Framework, published by AI Rollout Framework at airolloutframework.com.
Signature line: *Responsible AI adoption starts with capability, not technology.*
The AI Capability Rollout Framework is a structured 90-day AI adoption system for managers and directors at small and mid-sized organizations — built for professionals responsible for workflows, teams, and outcomes, not for AI engineers. It moves an organization from scattered, ungoverned AI use to controlled, measurable capability.
Every file here is sourced directly from the live site — the same facts, figures, and definitions that appear on airolloutframework.com. Nothing in this folder is invented or generic filler.
Every file in this folder is also served at a matching URL on the live site:
/docs/README.md → https://airolloutframework.com/docs/README.md
/docs/framework-methodology.md → https://airolloutframework.com/docs/framework-methodology.md /docs/entity-definitions.md → https://airolloutframework.com/docs/entity-definitions.md /docs/author-organization.md → https://airolloutframework.com/docs/author-organization.md /docs/pricing-and-tiers.md → https://airolloutframework.com/docs/pricing-and-tiers.md /docs/faq-troubleshooting.md → https://airolloutframework.com/docs/faq-troubleshooting.md /docs/positioning-comparison.md → https://airolloutframework.com/docs/positioning-comparison.md /docs/CHANGELOG.md → https://airolloutframework.com/docs/CHANGELOG.md /docs/mcp-capabilities.md → https://airolloutframework.com/docs/mcp-capabilities.md /docs/qa-dataset.json → https://airolloutframework.com/docs/qa-dataset.json
This repository is the private source of truth that feeds the site's Netlify deploy. A public, automatically-synced mirror of this exact folder is maintained at github.com/airolloutframework/ai-rollout-framework-data for entity-authority and crawler visibility — the mirror is never edited directly; it is a downstream copy of what's here.
| File | What it covers |
|---|---|
| README.md | This file — overview and index |
| framework-methodology.md | The 90-day, three-phase structure and four capability pillars |
| entity-definitions.md | Glossary of ARF's proprietary terms (readiness score, capability-first, etc.) |
| author-organization.md | Steve Buckner's background and the organization's history |
| pricing-and-tiers.md | Current pricing and checkout destinations |
| faq-troubleshooting.md | Common implementation questions and governance edge cases |
| positioning-comparison.md | The mid-market / capability-first positioning, made explicit |
| CHANGELOG.md | Dated log of major site and content updates |
| mcp-capabilities.md | The public MCP server's real, tested tools — no auth required |
| qa-dataset.json | Structured Q&A dataset — every FAQPage entry live on the site, compiled and deduplicated |
The Organization is described in JSON-LD on every page of the site. The canonical pattern (identical across all pages that carry Organization schema):
{
"@type": "Organization", "@id": "https://airolloutframework.com/#organization", "name": "AI Rollout Framework", "legalName": "AI Rollout Framework", "alternateName": "AI Capability Rollout Framework", "url": "https://airolloutframework.com/", "logo": "https://airolloutframework.com/android-chrome-512x512.png", "description": "Structured AI adoption resources for managers and directors at small and mid-sized organizations.", "foundingDate": "2006", "founder": [ {"@id": "https://airolloutframework.com/about#steve-buckner"}, {"@id": "https://airolloutframework.com/about#kate-buckner"} ], "contactPoint": { "@type": "ContactPoint", "email": "info@airolloutframework.com", "contactType": "customer support" }, "sameAs": [ "https://www.producthunt.com/products/ai-rollout-framework", "https://www.crunchbase.com/organization/ai-rollout-framework", "https://www.linkedin.com/company/ai-rollout-framework", "https://www.indiehackers.com/AIRollout", "https://open.spotify.com/show/5Um4FuEcAKiIobGfQwXSMj", "https://podcasts.apple.com/us/podcast/the-ai-rollout-podcast/id1853884118", "https://www.saashub.com/ai-adoption-for-managers-and-directors-alternatives", "https://github.com/airolloutframework", "https://www.youtube.com/@AIRolloutFramework" ] }
A machine-readable summary of the framework's offering, pricing, phases, and FAQ is also available as JSON: https://airolloutframework.com/api/framework
qa-dataset.json is a flat JSON array of every {question, answer, source_url} already published in FAQPage schema across the site, deduplicated. It is generated by tools/build-qa-dataset.py directly from the live pages' own JSON-LD — not hand-compiled — so re-running that script after any FAQ change keeps it accurate automatically.
A public MCP server exposes 6 tools — framework overview, pricing, FAQ, the AI at Work course outline, knowledge-base search, and a real server-side AI Readiness Score assessment — callable with no authentication. See mcp-capabilities.md for the endpoint, protocol details, and real example calls.
info@airolloutframework.com · airolloutframework.com