AI Recommendation Readiness Audit | The Black Friday Agency
REMOTE · CANAIRECOMMENDMYBUSINESS.COM · SCANNED SEP 20
Can AI confidently recommend your business? The AI Recommendation Readiness Audit shows whether your
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 Security57
- 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 2 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
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- 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 Usability73
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 330 tokens (~165/item across 2 items; 2 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 Management53
- Stability observed for 16 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
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 2 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 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 Recommendation Readiness Audit | The Black Friday Agency MCP server?
AI Recommendation Readiness Audit | The Black Friday Agency is a hosted endpoint at https://canairecommendmybusiness.com/api/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 · canairecommendmybusiness.com
claude mcp add --transport http janoliverautomation-stack-canairecommendmybusine 'https://canairecommendmybusiness.com/api/mcp'
{
"mcpServers": {
"janoliverautomation-stack-canairecommendmybusine": {
"url": "https://canairecommendmybusiness.com/api/mcp"
}
}
} {
"servers": {
"janoliverautomation-stack-canairecommendmybusine": {
"type": "http",
"url": "https://canairecommendmybusiness.com/api/mcp"
}
}
} [mcp_servers.janoliverautomation-stack-canairecommendmybusine] url = "https://canairecommendmybusiness.com/api/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"janoliverautomation-stack-canairecommendmybusine": {
"type": "remote",
"url": "https://canairecommendmybusiness.com/api/mcp",
"enabled": true
}
}
} openclaw mcp add janoliverautomation-stack-canairecommendmybusine --url 'https://canairecommendmybusiness.com/api/mcp' --transport streamable-http
mcp_servers:
janoliverautomation-stack-canairecommendmybusine:
url: "https://canairecommendmybusiness.com/api/mcp" {
"McpServers": {
"janoliverautomation-stack-canairecommendmybusine": {
"Transport": "http",
"Url": "https://canairecommendmybusiness.com/api/mcp"
}
}
} assistant mcp add janoliverautomation-stack-canairecommendmybusine -t streamable-http -u 'https://canairecommendmybusiness.com/api/mcp'
{
"mcpServers": {
"janoliverautomation-stack-canairecommendmybusine": {
"type": "http",
"url": "https://canairecommendmybusiness.com/api/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.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 7 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.
- 5 Sept 26 +1
- Schema quality: 238 → 165 ▲ functional
- Stability: unverified → 0.03 ▲ functional
- Tool “assess_ai_recommendation_readiness” now declares an output schema ▲ functional
- First check of Tool coverage: 100 functional
- New tool “get_ai_readiness_framework” functional
- “assess_ai_recommendation_readiness” reworded the description of “goals” cosmetic
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 20 Sept 2026 · Probed https://canairecommendmybusiness.com/api/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=canairecommendmybusiness.com | CN=WE1,O=Google Trust Services,C=US | 20 Aug 2026 | 18 Nov 2026 | ECDSA 256 | ECDSA-SHA256 | a874445622a6ffff13aebd185f336671 |
| SANs: canairecommendmybusiness.com | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of canairecommendmybusiness.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| canairecommendmybusiness.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 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://canairecommendmybusiness.com/api/mcp | Verified | 200 | |
| http (plaintext) | http://canairecommendmybusiness.com/api/mcp | HTTPS enforced | 301 | https://canairecommendmybusiness.com/api/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_recommendation_readiness Assess AI Recommendation Readiness ~201
Assesses whether a business is ready to be understood, verified, trusted, recommended, and used by AI systems, based on structured inputs (business size, data availability/maturity, technical stack/infrastructure, and goals). Returns a readiness score, tier, gap analysis, priority actions, and a phased implementation roadmap. Deterministic and read-only: it performs no consequential actions and does not guarantee any ranking or recommendation.
| Name | Type | Req | Description |
|---|---|---|---|
| businessName | string | – | Optional, non-sensitive business name for context. |
| businessSize | string | yes | Size of the business/organization. |
| dataMaturity | string | yes | Availability and maturity of the structured/machine-readable data of the business. |
| goals | array | – | One or more readiness goals the business wants to prioritize (1–8, unique values from the enum). |
| industry | string | – | Optional industry/category for context. |
| technicalStack | string | yes | Technical stack / infrastructure sophistication. |
| Name | Type | Req | Description |
|---|---|---|---|
| dimensionScores | array | yes | Per-dimension breakdown of the overall score. |
| disclaimer | string | yes | Educational-use disclaimer. |
| engineVersion | string | – | Version of the deterministic scoring engine. |
| gapAnalysis | array | yes | Identified gaps between current and target readiness. |
| implementationRoadmap | array | – | Phased implementation roadmap. |
| normalizedInputs | object | yes | The normalized inputs actually used for scoring. |
| priorityActions | array | yes | Prioritized recommended actions. |
| readinessScore | number | yes | Overall AI recommendation readiness score (0–100). |
| tier | object | yes | – |
| tool | string | – | Canonical tool identifier. |
No examples provided.
get_ai_readiness_framework Get AI Readiness Framework ~82
Returns the AI Recommendation Readiness scoring framework: the scored dimensions and their weights, the four readiness tiers with score ranges, and every valid input option (business sizes, data maturity levels, technical stacks, and goals). Read-only and deterministic; use it to understand how the assessment is scored and to build valid inputs for assess_ai_recommendation_readiness.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| dimensions | array | yes | – |
| disclaimer | string | yes | – |
| engineVersion | string | yes | – |
| inputOptions | object | yes | – |
| tiers | array | yes | – |
No examples provided.
What is the AI Recommendation Readiness Audit | The Black Friday Agency MCP server?
AI Recommendation Readiness Audit | The Black Friday Agency is an MCP server listed in the public MCP registry as io.github.janoliverautomation-stack/canairecommendmybusines…. Can AI confidently recommend your business? The AI Recommendation Readiness Audit shows whether your. This page covers its hosted endpoint (https://canairecommendmybusiness.com/api/mcp).
Is the AI Recommendation Readiness Audit | The Black Friday Agency MCP server safe to use?
AI Recommendation Readiness Audit | The Black Friday Agency scores 70 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 Recommendation Readiness Audit | The Black Friday Agency MCP server expose?
AI Recommendation Readiness Audit | The Black Friday Agency exposes 2 tools: assess_ai_recommendation_readiness, get_ai_readiness_framework. Their descriptions and schemas cost roughly 283 tokens of context every time the server is loaded.
Does the AI Recommendation Readiness Audit | The Black Friday Agency MCP server require authentication?
No. We connected to AI Recommendation Readiness Audit | The Black Friday Agency without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the AI Recommendation Readiness Audit | The Black Friday Agency MCP server still maintained?
AI Recommendation Readiness Audit | The Black Friday Agency is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.