AI Recommendation Readiness Audit | The Black Friday Agency
REMOTE · CANAIRECOMMENDMYBUSINESS.COM
Can AI confidently recommend your business? The AI Recommendation Readiness Audit shows whether your
Available components
Last scanned (21 hours ago)
Scores higher than 66% of remote servers
Reachable. Last reached 4 Nov 2026.
Category Marketing and SEO
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 Management100
- No destabilizing schema changes in the last 30 days.Pass
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
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.
- 4 Oct 26 0
- Stability: 0.97 → pass security
- 3 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 28 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
- 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
- 5 Sept 26 0
- 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
- 4 Sept 26 0
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 4 Nov 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 | 18 Oct 2026 | 16 Jan 2027 | ECDSA 256 | ECDSA-SHA256 | f57da5c6e3eb0bac0e17ddfedf1d5f8b |
| 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.
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'
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 76 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 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.