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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 8 min ago. It exposes 2 tools.

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

Uptime history 6 days of history
6 days agonow
100.0%
Uptime 24h
92 of 92 checks
2
Tools
read from the server
665 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 8 min ago.

run in your terminal
claude mcp add canairecommendmybusiness-com --transport http https://canairecommendmybusiness.com/api/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "canairecommendmybusiness-com": {
      "url": "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
{
  "mcpServers": {
    "canairecommendmybusiness-com": {
      "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 731 ms 8 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 92 of 92 checks got a reply (100.0%), average response time 665 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 with the file path 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 665 ms on average, which is faster than 20% 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.