AI & Machine Learning

aiready4all.com

Provides AI project lifecycle guidance, readiness assessments, and governance framework alignment.

1 endpoint8 known toolsFirst detected June 15, 2026Last detected August 25, 2026

ENDPOINT 1

https://aiready4all.com/mcp

No auth detected

MCP server metadata

Name: aiready4all
Version: 1.0.0

Capabilities

tools

Server instructions

aiready4all assesses AI project readiness using the PMI CPMAI lifecycle and a Trustworthy AI framework (EU AI Act incl. GPAI, ISO/IEC 42001, NIST AI RMF + GenAI Profile, OECD, IEEE 7000, EU HLEG, UNESCO, Council of Europe AI Convention). Use `get_methodology` first to understand the 6 phases and 5 trust pillars, build a `projectData` object, then call the assessment tools. For quick guidance use `ask_ai_advisor`. To talk to a human or request an enterprise deployment, use `request_consultation`.

Known tools 8

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.

Inferred read-only

ask_ai_advisor

Ask a free-form question about AI readiness, CPMAI phases, Trustworthy AI pillars, assessment questions, or governance frameworks.

Inferred read-only

suggest_phase_inputs

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

Inferred read-only

assess_trustworthy_ai

Evaluate a project across the 5 Trustworthy AI pillars (Societal Ethics, Accountability & Governance, Robustness & Reliability, Transparency & Explainability, Privacy & Data Security).

Inferred read-only

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.

Inferred read-only

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.

Inferred read-only

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.

Inferred read-only

request_consultation

Submit a contact request to talk to a human about pricing, an enterprise deployment, or a custom engagement.

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: aiready4all
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": {
      "url": "https://aiready4all.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for aiready4all.com was fetched 2026-07-26T07:29:37.538Z and is being refreshed.

Trust status Neutral

aiready4all.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

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