Generative AI Maturity Framework MCP server

• Registry namenet.genaimaturity/frameworkverified in the MCP registry

The registry name sits under genaimaturity.net. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-11-01
• Tools9
• Server calls itselfgenai-maturity-framework
• Server version1.0.0
• Protocol version2024-11-05

On 2026-11-01 the server answered initialize and tools/list without a sign-in. First answer in 515 ms.

• Whether its tools do the product's job has not been judged yet.
• Checked on 3 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
• Answeredmeasuring3 of the 7 daily checks it takes to print a share
• Median first answer530 ms
• Space in an agent's context≈ 1,012 tokensthe definitions of all its tools (9), which an agent carries on every turn
• Tool definitionsB · 83 of 100
• Typed results0 of 9 toolsdeclared outputSchema: results come typed, read once

• Not saying whether it only reads or can destroy: 9 of 9

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• search_glossary

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

• 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.

• 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.

• get_framework_spec

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

• 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. Returns titles, summaries, and canonical URLs.

• list_whitepapers

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

• 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. Returns…

• map_compliance_control

  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.

• find_use_cases

  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.