MCP server

AI Recommendation Readiness Audit | The Black Friday Agency

io.github.janoliverautomation-stack/canairecommendmybusiness-com

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

2

Token cost

About 631 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.canairecommendmybusiness-com]
url = "https://canairecommendmybusiness.com/api/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"canairecommendmybusiness-com":{"type":"http","url":"https://canairecommendmybusiness.com/api/mcp"}}}

Antigravity

agy mcp add canairecommendmybusiness-com https://canairecommendmybusiness.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"canairecommendmybusiness-com","server_url":"https://canairecommendmybusiness.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"canairecommendmybusiness-com","server_url":"https://canairecommendmybusiness.com/api/mcp"}

Tools

• assess_ai_recommendation_readiness ~483 tokens
  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 ~148 tokens
  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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