Connect-MCP

AI Recommendation Readiness Audit | The Black Friday Agency

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

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

MCPremoteno credentials

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 2 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 95/100

What it does: 2 tools · 1 read, 0 write

Test call get_ai_readiness_framework: worked (996 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://canairecommendmybusiness.com/api/mcp

Tools

2 tools listed at last check
  • 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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Markdown for your README
[![Connect-MCP](https://clawy.uk/mcp/badge/io.github.janoliverautomation-stack/canairecommendmybusiness-com.svg)](https://clawy.uk/mcp/s/io.github.janoliverautomation-stack/canairecommendmybusiness-com)