AI Capability Rollout Framework
REMOTE · AIROLLOUTFRAMEWORK.COM · SCANNED SEP 28
90-day AI adoption framework for managers: overview, pricing, FAQ and an AI readiness assessment.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security63
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 5 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability66
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1414 tokens (~282/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
How do I install the AI Capability Rollout Framework MCP server?
AI Capability Rollout Framework is a hosted endpoint at https://airolloutframework.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · airolloutframework.com
claude mcp add --transport http com-airolloutframework-ai-rollout-framework 'https://airolloutframework.com/mcp'
{
"mcpServers": {
"com-airolloutframework-ai-rollout-framework": {
"url": "https://airolloutframework.com/mcp"
}
}
} {
"servers": {
"com-airolloutframework-ai-rollout-framework": {
"type": "http",
"url": "https://airolloutframework.com/mcp"
}
}
} [mcp_servers.com-airolloutframework-ai-rollout-framework] url = "https://airolloutframework.com/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-airolloutframework-ai-rollout-framework": {
"type": "remote",
"url": "https://airolloutframework.com/mcp",
"enabled": true
}
}
} openclaw mcp add com-airolloutframework-ai-rollout-framework --url 'https://airolloutframework.com/mcp' --transport streamable-http
mcp_servers:
com-airolloutframework-ai-rollout-framework:
url: "https://airolloutframework.com/mcp" {
"McpServers": {
"com-airolloutframework-ai-rollout-framework": {
"Transport": "http",
"Url": "https://airolloutframework.com/mcp"
}
}
} assistant mcp add com-airolloutframework-ai-rollout-framework -t streamable-http -u 'https://airolloutframework.com/mcp'
{
"mcpServers": {
"com-airolloutframework-ai-rollout-framework": {
"type": "http",
"url": "https://airolloutframework.com/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 28 Sept 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 26 Sept 26 +1
- Tool “get_pricing” rewrote its description, which is the text the model reads security
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 24 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 22 Sept 26 +1
- Stability: unverified → 0.03 ▲ functional
- 21 Sept 26 63
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 28 Sept 2026 · Probed https://airolloutframework.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=airolloutframework.com | CN=YE1,O=Let's Encrypt,C=US | 14 Aug 2026 | 12 Nov 2026 | ECDSA 256 | ECDSA-SHA384 | 65b84fce17ccbf155cc657542b4498bbba7 |
| SANs: *.airolloutframework.com, airolloutframework.com | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of airolloutframework.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| airolloutframework.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000 |
| x-content-type-options | nosniff |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://airolloutframework.com/mcp | Verified | 200 | |
| http (plaintext) | http://airolloutframework.com/mcp | HTTPS enforced | 301 | https://airolloutframework.com/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
assess_ai_readiness ~1,131
Run the AI Capability Rollout Framework's 16-question AI Readiness Score assessment on behalf of a user and return their readiness stage with a recommended next step. Ask the user each of the 16 questions (or use their existing answers) and rate each response 1-5 (1 = Strongly Disagree ... 5 = Strongly Agree), then call this tool with all 16 answers. Returns the stage name and recommendation text only — the same kind of result a user gets on the website, without a numeric score or scoring breakdown. Read-only, no authentication required.
| Name | Type | Req | Description |
|---|---|---|---|
| q1 | integer | yes | Leadership has discussed how AI may affect workflows, productivity, or service quality in our environment. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q10 | integer | yes | People here could describe at least one current task that AI could meaningfully assist without major risk. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q11 | integer | yes | There is at least some awareness of how AI tool outputs should be reviewed before they affect real work. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q12 | integer | yes | If we piloted AI in one area today, we could define what success looks like in practical terms. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q13 | integer | yes | Most people here could use a basic AI tool with at least some practical confidence. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q14 | integer | yes | There is some shared understanding of what AI is - and is not - good at in a workplace context. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q15 | integer | yes | People here feel comfortable asking questions about AI without fear of looking uninformed. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q16 | integer | yes | If a structured AI skill development path existed for our team, there would be genuine interest in using it. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree… |
| q2 | integer | yes | There is at least a basic understanding of why AI would be used here beyond general curiosity. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q3 | integer | yes | Someone is clearly responsible for evaluating AI opportunities or next steps. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q4 | integer | yes | AI discussion here is tied to outcomes, workflows, or risks rather than hype. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q5 | integer | yes | People generally understand what data should never be entered into public AI tools. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q6 | integer | yes | AI use is discussed with at least some awareness of policy, compliance, or reputational risk. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q7 | integer | yes | Important AI outputs would be reviewed before they are acted on or shared broadly. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q8 | integer | yes | There is at least a basic sense of what "safe experimentation" with AI looks like here. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
| q9 | integer | yes | We can identify at least one low-risk workflow where AI could improve speed, quality, or consistency. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.) |
No output schema declared.
No examples provided.
get_faq ~116
Get frequently asked questions about the AI Capability Rollout Framework, covering pricing, governance, and implementation topics. Read-only, no authentication required.
| Name | Type | Req | Description |
|---|---|---|---|
| topic | string | – | Optional filter. Use a category for reliable results: "assessment", "implementation", "governance", "measurement", "concepts", "pricing", or "products". Any other value falls back to a free-text sear… |
No output schema declared.
No examples provided.
get_framework_overview ~38
Get the AI Capability Rollout Framework's three implementation phases, four capability pillars, and core positioning statement. Read-only, no authentication required.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_pricing ~70
Get current pricing and checkout URLs for the AI Capability Rollout Framework ($99 one-time), the Framework + Executive Suite bundle ($199 one-time, or a $100 upgrade for existing framework owners), and The Complete AI Learning Path team-training bundle ($24.99/user). Read-only, no authentication required.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
search_knowledge_base ~59
Search the AI Rollout Framework knowledge base (methodology, definitions, positioning, changelog) for a keyword or phrase. Returns matching sections with links to the full source document.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | Keyword or phrase to search for. |
No output schema declared.
No examples provided.
What is the AI Capability Rollout Framework MCP server?
AI Capability Rollout Framework is an MCP server listed in the public MCP registry as com.airolloutframework/ai-rollout-framework. 90-day AI adoption framework for managers: overview, pricing, FAQ and an AI readiness assessment. This page covers its hosted endpoint (https://airolloutframework.com/mcp).
Is the AI Capability Rollout Framework MCP server safe to use?
AI Capability Rollout Framework scores 67 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the AI Capability Rollout Framework MCP server expose?
AI Capability Rollout Framework exposes 5 tools: get_framework_overview, get_pricing, get_faq, search_knowledge_base, assess_ai_readiness. Their descriptions and schemas cost roughly 1,414 tokens of context every time the server is loaded.
Does the AI Capability Rollout Framework MCP server require authentication?
No. We connected to AI Capability Rollout Framework without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the AI Capability Rollout Framework MCP server still maintained?
AI Capability Rollout Framework is still listed as active in the MCP registry. We last reached this channel on 28 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.