← airolloutframework.com

INDIVIDUAL MCP TOOL

get_pricing

Get current pricing and checkout URLs for the AI Capability Rollout Framework ($99 one-time) and The Complete AI Learning Path team-training bundle ($24.99/user).

airolloutframework.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://airolloutframework.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_pricing 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

airolloutframework.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.ai-rollout-framework]
url = "https://airolloutframework.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "ai-rollout-framework": {
      "type": "http",
      "url": "https://airolloutframework.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-rollout-framework
Remote MCP URL: https://airolloutframework.com/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": {
    "ai-rollout-framework": {
      "url": "https://airolloutframework.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "ai-rollout-framework": {
      "type": "http",
      "url": "https://airolloutframework.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "ai-rollout-framework",
  "transport": "streamable-http",
  "url": "https://airolloutframework.com/mcp"
}
MCP Inspector

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

Related tools

  • get_framework_overview — Get the AI Capability Rollout Framework's three implementation phases, four capability pillars, and core positioning statement.
  • get_faq — Get frequently asked questions about the AI Capability Rollout Framework, covering pricing, governance, and implementation topics.
  • search_knowledge_base — Search the AI Rollout Framework knowledge base (methodology, definitions, positioning, changelog) for a keyword or phrase.
  • assess_ai_readiness — Run the AI Capability Rollout Framework's 16-question AI Readiness Score assessment on behalf of a user and return their readiness stage with a recommended next step.