AI & Machine Learning

canairecommendmybusiness.com

Assesses whether a business is ready to be understood, verified, trusted, recommended, and used by AI systems based on structured inputs, and provides a scoring framework.

1 endpoint2 known toolsFirst detected September 5, 2026Last detected September 5, 2026

ENDPOINT 1

https://canairecommendmybusiness.com/api/mcp

No auth detected

MCP server metadata

Name: can-ai-recommend-my-business
Version: 2.0.0

Capabilities

tools

Server instructions

This MCP server exposes the canonical "assess_ai_recommendation_readiness" tool. Call tools/list to discover it, then tools/call with businessSize, dataMaturity, technicalStack, and optional goals.

Known tools 2

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).

Inferred read-only

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).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.can-ai-recommend-my-business]
url = "https://canairecommendmybusiness.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "can-ai-recommend-my-business": {
      "type": "http",
      "url": "https://canairecommendmybusiness.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: can-ai-recommend-my-business
Remote MCP URL: https://canairecommendmybusiness.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "can-ai-recommend-my-business": {
      "url": "https://canairecommendmybusiness.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "can-ai-recommend-my-business": {
      "type": "http",
      "url": "https://canairecommendmybusiness.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "can-ai-recommend-my-business",
  "transport": "streamable-http",
  "url": "https://canairecommendmybusiness.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.