Koskamo

Generative AI Maturity Framework MCP

A public read-only MCP server that exposes 9 tools for querying the Generative AI Maturity Framework at inference time. It allows agents to search a 100-term glossary, retrieve framework dimensions and maturity levels, access whitepapers, map compliance controls across EU AI Act, NIST, ISO, and SOC 2, and filter enterprise use cases.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

Generative AI Maturity Framework MCP logo, by Generative AI Maturity FrameworkVendor evidenceStreamable HTTPNo sign-inEndpoint checked 2026-11-01Operated by Generative AI Maturity Framework
MCP endpoint (Streamable HTTP)
https://genaimaturity.net/api/mcp
Vendor documentation

What you can do with it

  • Search the 100-term AI glossary
  • Retrieve framework dimensions and maturity levels
  • Map compliance controls across EU AI Act, NIST, ISO, and SOC 2
  • Filter 51 enterprise use cases by industry or function

Source and maintenance

Vendor evidenceRegistry 1.0.0

Protocol and capabilities

Server
genai-maturity-framework 1.0.0
MCP protocol
2024-11-05
Tools
9 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

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".

Tools

9 advertised

search_glossary
Advertised by the server during the last successful anonymous check.

Search the Generative AI Maturity Framework glossary of 100 curated AI / GenAI / agentic-AI terms. Returns matching terms with definitions and canonical URLs.

search_glossary input schema
{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "description": "Maximum results to return. Default 10, max 25."
    },
    "query": {
      "type": "string",
      "description": "Case-insensitive substring to match against term names, categories, and definitions."
    }
  }
}
get_dimension
Advertised by the server during the last successful anonymous check.

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.

get_dimension input schema
{
  "type": "object",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "enum": [
        "strategy",
        "data",
        "usecases",
        "talent",
        "governance",
        "agentic"
      ],
      "type": "string",
      "description": "Dimension id — one of strategy, data, usecases, talent, governance, agentic."
    }
  }
}
get_maturity_level
Advertised by the server during the last successful anonymous check.

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.

get_maturity_level input schema
{
  "type": "object",
  "required": [
    "level"
  ],
  "properties": {
    "level": {
      "type": "number",
      "description": "Maturity level number, 1-6 (1=Aware, 2=Exploring, 3=Operational, 4=Integrated, 5=Autonomous, 6=Transformative)."
    }
  }
}
get_framework_spec
Advertised by the server during the last successful anonymous check.

Return the full canonical machine-readable framework spec — six dimensions, six levels, scoring scale, assessment types, endpoints. CC BY 4.0.

get_framework_spec input schema
{
  "type": "object",
  "properties": {}
}
list_comparisons
Advertised by the server during the last successful anonymous check.

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. Returns titles, summaries, and canonical URLs.

list_comparisons input schema
{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Optional case-insensitive substring to filter by topic (matches title + keywords)."
    }
  }
}
list_whitepapers
Advertised by the server during the last successful anonymous check.

List all published GenAI Maturity Framework whitepapers (CC BY 4.0). Returns titles, subtitles, abstracts, canonical URLs, and Markdown download URLs.

list_whitepapers input schema
{
  "type": "object",
  "properties": {}
}
list_free_tools
Advertised by the server during the last successful anonymous check.

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. Returns names, descriptions, canonical URLs.

list_free_tools input schema
{
  "type": "object",
  "properties": {}
}
map_compliance_control
Advertised by the server during the last successful anonymous check.

Search the AI compliance control mapping across EU AI Act, NIST AI RMF, ISO/IEC 42001, and SOC 2. Returns matching controls with per-framework citations.

map_compliance_control input schema
{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "Case-insensitive substring to match against control text, category, or specific framework references (e.g. \"Art. 15\", \"MEASURE 2.7\")."
    }
  }
}
find_use_cases
Advertised by the server during the last successful anonymous check.

Filter the enterprise GenAI use case catalog by industry, business function, and current maturity level. Returns ranked matches with ROI band, effort estimate, prerequisites, and metrics.

find_use_cases input schema
{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max results. Default 5, max 20."
    },
    "function": {
      "type": "string",
      "description": "Business function filter. One of: any, sales, marketing, engineering, product, operations, support, hr, legal, finance, analytics."
    },
    "industry": {
      "type": "string",
      "description": "Industry filter. One of: any, financial-services, healthcare, manufacturing, retail, technology, public-sector, professional-services, media."
    },
    "maturityLevel": {
      "type": "number",
      "description": "Your current framework maturity level, 1-6. Only use cases feasible at or below this level are returned. Default 3."
    }
  }
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
702 ms
95th percentile latency
702 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 702 ms · metadata changed · 9 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http generative-ai-maturity-framework-mcp https://genaimaturity.net/api/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add generative-ai-maturity-framework-mcp --url https://genaimaturity.net/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable generative-ai-maturity-framework-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "generative-ai-maturity-framework-mcp": {
      "url": "https://genaimaturity.net/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "generative-ai-maturity-framework-mcp": {
      "type": "streamableHttp",
      "url": "https://genaimaturity.net/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start generative-ai-maturity-framework-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "generative-ai-maturity-framework-mcp": {
      "type": "http",
      "url": "https://genaimaturity.net/api/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http generative-ai-maturity-framework-mcp https://genaimaturity.net/api/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "generative-ai-maturity-framework-mcp": {
      "url": "https://genaimaturity.net/api/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "generative-ai-maturity-framework-mcp": {
      "serverUrl": "https://genaimaturity.net/api/mcp"
    }
  }
}

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