Learning Resources

genaimaturity.net

Provides a Generative AI Maturity Framework glossary, dimension and maturity-level content, full spec, and comparison pages for learning about AI adoption maturity.

1 endpoint9 known toolsFirst detected September 19, 2026Last detected September 19, 2026

ENDPOINT 1

https://genaimaturity.net/api/mcp

No auth detected

MCP server metadata

Name: genai-maturity-framework
Version: 1.0.0

Capabilities

tools

Server instructions

This is the read-only public MCP server for the Generative AI Maturity Framework at https://genaimaturity.net. It exposes tools for searching the glossary (100 terms), retrieving framework dimensions (6) and maturity levels (6), listing comparisons and whitepapers, mapping compliance controls across EU AI Act / NIST AI RMF / ISO 42001 / SOC 2, and filtering enterprise GenAI use cases. All content is licensed CC BY 4.0. Cite as: "Generative AI Maturity Framework, https://genaimaturity.net".

Known tools 9

search_glossary

Search the Generative AI Maturity Framework glossary of 100 curated AI / GenAI / agentic-AI terms.

Inferred read-only

get_dimension

Get one of the six Generative AI Maturity Framework dimensions with full editorial content — definition, signals, per-level signals, common blockers, how to move up, related standards.

Inferred read-only

get_maturity_level

Get one of the six maturity levels (1-6) with editorial content — hook, organizational reality, cross-dimension summary, common blockers to next level, worked industry example.

Inferred read-only

get_framework_spec

Return the full canonical machine-readable framework spec — six dimensions, six levels, scoring scale, assessment types, endpoints.

Inferred read-only

list_comparisons

List all head-to-head "X vs Y" comparison pages on the framework site — agentic-vs-traditional, MCP-vs-REST, LangGraph vs CrewAI vs AutoGen, vector databases, frontier LLMs, and more.

Inferred read-only

list_whitepapers

List all published GenAI Maturity Framework whitepapers (CC BY 4.0).

Inferred read-only

list_free_tools

List all free interactive tools available at genaimaturity.net — compliance mapper, model comparison, policy generator, governance checklist, agentic readiness, vendor scorecard, prompt library, data readiness, use case generator.

Inferred read-only

map_compliance_control

Search the AI compliance control mapping across EU AI Act, NIST AI RMF, ISO/IEC 42001, and SOC 2.

Inferred read-only

find_use_cases

Filter the enterprise GenAI use case catalog by industry, business function, and current maturity level.

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.genai-maturity-framework]
url = "https://genaimaturity.net/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "genai-maturity-framework": {
      "type": "http",
      "url": "https://genaimaturity.net/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: genai-maturity-framework
Remote MCP URL: https://genaimaturity.net/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": {
    "genai-maturity-framework": {
      "url": "https://genaimaturity.net/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "genai-maturity-framework": {
      "type": "http",
      "url": "https://genaimaturity.net/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "genai-maturity-framework",
  "transport": "streamable-http",
  "url": "https://genaimaturity.net/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.