Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
90-day AI adoption framework for managers: overview, pricing, FAQ and an AI readiness assessment.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://airolloutframework.com/mcpFühre das in deinem Terminal aus
claude mcp add --transport http ai-rollout-framework https://airolloutframework.com/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"ai-rollout-framework": {
"url": "https://airolloutframework.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"ai-rollout-framework": {
"type": "http",
"url": "https://airolloutframework.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://airolloutframework.com/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 8. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
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
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde über die Domain airolloutframework.com bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Antwort in 1070 ms (HTTP 200)
Keine Anmeldung nötig
Wir haben 9 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.1.0) kam vor 31 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, SolveHub
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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