AI Recommendation Readiness Audit | The Black Friday Agency

io.github.janoliverautomation-stackPublished by GitHub account janoliverautomation-stackv1.0.0Updated Oct 27, 2026

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

The publisher's own server: audit.domains - Domain Valuation

VerifiedStreamable HTTPWeb executableData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

Remote MCP server that scores how ready a business is to be understood, trusted and recommended by AI systems, returning gaps and priority actions.

What you can do
  • Assess a business's AI recommendation readiness from structured inputs such as business size, data availability and maturity, technical stack and goals
  • Return a readiness score, tier, gap analysis, priority actions and a plan
  • Retrieve the scoring framework: scored dimensions and weights, the four readiness tiers with score ranges, and all valid input options
When to use it
Useful when a business wants a quick, structured self-assessment of whether AI assistants can find, verify and recommend it, or when you want to explain how the readiness score is calculated before running an audit.
Requirements
A remote MCP endpoint over streamable HTTP; no packages, environment variables or headers are declared. No authentication is declared.
Before you install
The audit is based on self-reported inputs, so results reflect what is entered rather than verified facts. The assessment is deterministic and read-only; no data writes are described.

Installation

In SourceWeft

  1. Open AI Recommendation Readiness Audit | The Black Friday Agency in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.janoliverautomation-stack%2Fcanairecommendmybusiness-com/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "ai-recommendation-readiness-audit-the-bl": {
      "type": "http",
      "url": "https://canairecommendmybusiness.com/api/mcp"
    }
  }
}

Tools

2

assess_ai_recommendation_readiness

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.

ParametersgoalsindustrybusinessNamebusinessSizerequireddataMaturityrequiredtechnicalStackrequired

get_ai_readiness_framework

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.

Takes no parameters.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

Other Audit integrations

audit.domains - Domain Valuation

domains.auditOfficial publisher

Deterministic domain-name valuation: fair-value intervals, comparable recorded sales, availability checks, and a verified for-sale listing market.

Streamable HTTPWeb executable
Web Search & Scraping27 toolsNov 1, 2026

Revenue Agent — OpenAPI Audit & Change Detection

news.prhOfficial publisher

A remote MCP endpoint that audits OpenAPI specifications and detects API changes, charging $0.10 USDC per analysis via x402 on Base.

Streamable HTTPWeb executable
Finance2 toolsOct 24, 2026

Zovo Dependency Audit

Published by GitHub account theluckystrike

Audits pasted npm and PyPI dependency manifests for known vulnerabilities, licenses and outdated versions, returning Markdown, CSV and PDF reports.

Streamable HTTPWeb executable
Developer Tools2 toolsNov 8, 2026

SEO Audit & Broken Link Checker

Published by GitHub account prometheus-maker

An Apify-hosted MCP server that audits a website's pages for SEO metadata and finds broken links and images, returning per-page scores.

Streamable HTTPWeb executableAuth
Web Search & ScrapingCredential requiredNov 7, 2026

FinePrint AI Legal Risk & Contract Audit MCP Server

Published by GitHub account RitualDev-Lab

Local in-memory scanner that grades legal contracts, NDAs and leases for risk and drafts redline amendments for coding agents.

STDIODesktop only
Files & StorageNot validated yetNov 7, 2026