INDIVIDUAL MCP TOOL

suggest_phase_inputs

Generate AI-suggested content for a specific assessment task given an industry and problem.

aiready4all.comnone authenticationAvailability not checked

Input schema

{}

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.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.aiready4all-com]
url = "https://aiready4all.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "aiready4all-com": {
      "type": "http",
      "url": "https://aiready4all.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: aiready4all-com
Remote MCP URL: https://aiready4all.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": {
    "aiready4all-com": {
      "url": "https://aiready4all.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "aiready4all-com": {
      "type": "http",
      "url": "https://aiready4all.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "aiready4all-com",
  "transport": "streamable-http",
  "url": "https://aiready4all.com/mcp"
}

MCP Inspector

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

get_methodology — Returns the aiready4all 6-phase CPMAI AI project lifecycle and the 5 Trustworthy AI pillars, plus the international governance frameworks they align with.
ask_ai_advisor — Ask a free-form question about AI readiness, CPMAI phases, Trustworthy AI pillars, assessment questions, or governance frameworks.
assess_trustworthy_ai — Evaluate a project across the 5 Trustworthy AI pillars (Societal Ethics, Accountability & Governance, Robustness & Reliability, Transparency & Explainability, Privacy & Data Security).
review_phase — Produce a detailed readiness review of one CPMAI phase (1-5): strengths, gaps, risks, and prioritized recommendations based on the project's answers for that phase.
gate_decision — Combine deterministic scoring with AI reasoning to recommend a gate decision (Go / Pilot / Redesign / Pause) for moving past a phase, with confidence and rationale.
generate_assessment_report — Generate a comprehensive, executive-ready AI readiness report (HTML) covering all phases, the Trustworthy AI posture, roadmap, final decision, KPIs, risks, and next steps.
request_consultation — Submit a contact request to talk to a human about pricing, an enterprise deployment, or a custom engagement.