AI Recommendation Readiness Audit | The Black Friday Agency
Can AI confidently recommend your business? The AI Recommendation Readiness Audit shows whether your
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (1)
- LOWin assess_ai_recommendation_readiness
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"canairecommendmybusiness-com": {
"url": "https://canairecommendmybusiness.com/api/mcp"
}
}
}Remote-Endpunkte
https://canairecommendmybusiness.com/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (2)
🟢assess_ai_recommendation_readiness(businessSize, dataMaturity, technicalStack, goals, businessName, ...)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"businessSize": {
"type": "string",
"enum": [
"solo",
"micro",
"small",
"midmarket",
"enterprise"
],
"description": "Size of the business/organization."
},
"dataMaturity": {
"type": "string",
"enum": [
"none",
"basic",
"developing",
"structured",
"advanced"
],
"description": "Availability and maturity of the structured/machine-readable data of the business."
},
"technicalStack": {
"type": "string",
"enum": [
"minimal",
"standard",
"modern",
"advanced"
],
"description": "Technical stack / infrastructure sophistication."
},
"goals": {
"type": "array",
"items": {
"type": "string",
"enum": [
"ai_visibility",
"lead_generation",
"trust_authority",
"content_coverage",
"conversion_optimization",
"structured_data",
"agent_readiness",
"reputation_management"
]
},
"minItems": 1,
"maxItems": 8,
"uniqueItems": true,
"default": [
"ai_visibility"
],
"description": "One or more readiness goals the business wants to prioritize (1–8, unique values from the enum)."
},
"businessName": {
"type": "string",
"description": "Optional, non-sensitive business name for context."
},
"industry": {
"type": "string",
"description": "Optional industry/category for context."
}
},
"required": [
"businessSize",
"dataMaturity",
"technicalStack"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"tool": {
"type": "string",
"description": "Canonical tool identifier."
},
"engineVersion": {
"type": "string",
"description": "Version of the deterministic scoring engine."
},
"readinessScore": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "Overall AI recommendation readiness score (0–100)."
},
"tier": {
"type": "object",
"properties": {
"level": {
"type": "integer",
"minimum": 1,
"maximum": 4,
"description": "Tier level (1–4)."
},
"name": {
"type": "string",
"enum": [
"Foundational",
"Developing",
"Established",
"Optimized"
],
"description": "Readiness tier name."
},
"summary": {
"type": "string",
"description": "Plain-language summary of the tier."
}
},
"required": [
"level",
"name",
"summary"
],
"additionalProperties": false
},
"dimensionScores": {
"type": "array",
"description": "Per-dimension breakdown of the overall score.",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "Dimension identifier."
},
"label": {
"type": "string",
"description": "Human-readable dimension name."
},
"score": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "Dimension score (0–100)."
},
"weight": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "Weight of this dimension in the overall score."
}
},
"required": [
"key",
"label",
"score",
"weight"
],
"additionalProperties": true
}
},
"gapAnalysis": {
"type": "array",
"description": "Identified gaps between current and target readiness.",
"items": {
"type": "object",
"properties": {
"area": {
"type": "string",
"description": "Gap area / dimension."
},
"severity": {
"type": "string",
"enum": [
"low",
"moderate",
"high",
"critical"
],
"description": "Severity of the gap."
},
"description": {
"type": "string",
"description": "Explanation of the gap."
}
},
"required": [
"area",
"severity",
"description"
],
"additionalProperties": true
}
},
"priorityActions": {
"type": "array",
"description": "Prioritized recommended actions.",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "Short action title."
},
"detail": {
"type": "string",
"description": "Action detail / rationale."
},
"effort": {
"type": "string",
"enum": [
"low",
"medium",
"high"
],
"description": "Estimated effort."
},
"impact": {
"type": "string",
"enum": [
"low",
"medium",
"high"
],
"description": "Estimated impact."
}
},
"required": [
"title"
],
"additionalProperties": true
}
},
"implementationRoadmap": {
"type": "array",
"description": "Phased implementation roadmap.",
"items": {
"type": "object",
"properties": {
"phase": {
"type": "string",
"description": "Phase name."
},
"focus": {
"type": "string",
"description": "Primary focus of the phase."
},
"actions": {
"type": "array",
"items": {
"type": "string"
},
"description": "Actions within the phase."
}
},
"required": [
"phase"
],
"additionalProperties": true
}
},
"normalizedInputs": {
"type": "object",
"description": "The normalized inputs actually used for scoring.",
"properties": {
"businessSize": {
"type": "string"
},
"dataMaturity": {
"type": "string"
},
"technicalStack": {
"type": "string"
},
"goals": {
"type": "array",
"items": {
"type": "string"
}
}
},
"additionalProperties": true
},
"disclaimer": {
"type": "string",
"description": "Educational-use disclaimer."
}
},
"required": [
"readinessScore",
"tier",
"dimensionScores",
"gapAnalysis",
"priorityActions",
"normalizedInputs",
"disclaimer"
],
"additionalProperties": true
}🟢get_ai_readiness_framework
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.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}Ausgabe-Schema
{
"type": "object",
"properties": {
"engineVersion": {
"type": "string"
},
"dimensions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"label": {
"type": "string"
},
"weight": {
"type": "number",
"minimum": 0,
"maximum": 1
}
},
"required": [
"key",
"label",
"weight"
],
"additionalProperties": false
}
},
"tiers": {
"type": "array",
"items": {
"type": "object",
"properties": {
"level": {
"type": "integer",
"minimum": 1,
"maximum": 4
},
"name": {
"type": "string"
},
"scoreRange": {
"type": "string"
}
},
"required": [
"level",
"name",
"scoreRange"
],
"additionalProperties": false
}
},
"inputOptions": {
"type": "object",
"properties": {
"businessSize": {
"type": "array",
"items": {
"type": "string"
}
},
"dataMaturity": {
"type": "array",
"items": {
"type": "string"
}
},
"technicalStack": {
"type": "array",
"items": {
"type": "string"
}
},
"goals": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"businessSize",
"dataMaturity",
"technicalStack",
"goals"
],
"additionalProperties": false
},
"disclaimer": {
"type": "string"
}
},
"required": [
"engineVersion",
"dimensions",
"tiers",
"inputOptions",
"disclaimer"
],
"additionalProperties": false
}Community
Nachweis