INDIVIDUAL MCP TOOL

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).

canairecommendmybusiness.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://canairecommendmybusiness.com/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for assess_ai_recommendation_readiness and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

canairecommendmybusiness.com

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.

Related tools

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).