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AI Recommendation Readiness Audit | The Black Friday Agency MCP Server

answering

AI Recommendation Readiness Audit | The Black Friday Agency is answering right now. Last checked 5 min ago. It exposes 2 tools.

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

Uptime history 52 days of history · worst day 99%
52 days agonow
100.0%
Uptime 24h
91 of 91 checks
2
Tools
read from the server
625 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check AI Recommendation Readiness Audit | The Black Friday Agency every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

run in your terminal
claude mcp add canairecommendmybusiness-com --transport http https://canairecommendmybusiness.com/api/mcp
Settings → Connectors → Add custom connector, then paste this address
https://canairecommendmybusiness.com/api/mcp
~/.codex/config.toml
[mcp_servers.canairecommendmybusiness-com]
url = "https://canairecommendmybusiness.com/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "canairecommendmybusiness-com": {
      "url": "https://canairecommendmybusiness.com/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "canairecommendmybusiness-com": {
      "type": "http",
      "url": "https://canairecommendmybusiness.com/api/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

assess
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 phased implementation roadmap. Deterministic and read-only: it performs no consequential actions and does not guarantee any ranking or recommendation.
readiness
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.

Endpoints

URLTransportStateLatencyChecked
https://canairecommendmybusiness.com/api/mcp streamable-http answering 580 ms 5 min ago

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AI Recommendation Readiness Audit | The Black Friday Agency — questions

Answers built from our own checks of this server.

What can AI Recommendation Readiness Audit | The Black Friday Agency do?
It exposes 2 tools, read directly from the server on our last check. Among them: assess_ai_recommendation_readiness, get_ai_readiness_framework. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is AI Recommendation Readiness Audit | The Black Friday Agency working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 625 ms. The bar chart above shows every period we have measured.
How do I connect AI Recommendation Readiness Audit | The Black Friday Agency?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AI Recommendation Readiness Audit | The Black Friday Agency need an API key?
No. AI Recommendation Readiness Audit | The Black Friday Agency completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AI Recommendation Readiness Audit | The Black Friday Agency?
It answers our handshake in 625 ms on average, which is faster than 19% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.