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AI Recommendation Readiness Audit | The Black Friday Agency

io.github.janoliverautomation-stack/canairecommendmybusiness-com · v1.0.0

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2025-06-18
Rank score	—
Declared risk	Not declared (tools carry no read/destructive hints)
Capabilities declared	tools
Tool definitions	2 tools · with description 100% · input schema is an object 100% · read/destructive hints 0%

Can AI confidently recommend your business? The AI Recommendation Readiness Audit shows whether your

streamable-http · https://canairecommendmybusiness.com/api/mcp

claude mcp add --transport http canairecommendmybusiness-com https://canairecommendmybusiness.com/api/mcp

{
  "mcpServers": {
    "canairecommendmybusiness-com": {
      "url": "https://canairecommendmybusiness.com/api/mcp"
    }
  }
}

assess_ai_recommendation_readiness
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 pha
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

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