agentweb

NAIC AI model bulletin adoption by state, with citations. Insurance AI compliance data.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
73%
Naming quality
87%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~489Tokens (tool definitions)
~1010 BTypical response size
Minimal attention impact (0.38% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "insurance-ai-regulation": {
      "url": "https://agentweb.brelsfordsoftware.com/mcp"
    }
  }
}

Remote endpoints

https://agentweb.brelsfordsoftware.com/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢lookup_jurisdiction(jurisdiction)

Look up one US jurisdiction's insurance-AI regulatory posture: whether it adopted the NAIC model bulletin, runs its own framework, or has other AI-related insurance legislation, with citations, dates and status. Call this when asked what a specific state requires, whether a state adopted the NAIC AI model bulletin, or what AI insurance legislation a state has. Note: not adopting the bulletin does NOT mean a state is unregulated — check other_activity in the response.

Input Schema

{
  "type": "object",
  "properties": {
    "jurisdiction": {
      "type": "string",
      "description": "Two-letter code or full name, e.g. 'CO' or 'Colorado'"
    }
  },
  "required": [
    "jurisdiction"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢list_jurisdictions(posture, since, until)

List US jurisdictions by regulatory posture. Use posture 'adopted_model_bulletin' for states that adopted the NAIC model bulletin, 'own_framework' for states running their own insurance-specific AI framework (CA, CO, NY, TX), or omit for all.

Input Schema

{
  "type": "object",
  "properties": {
    "posture": {
      "description": "adopted_model_bulletin = adopted the NAIC bulletin; own_framework = runs its own insurance-specific AI framework (CA, CO, NY, TX); no_model_bulletin = has not adopted it but has other tracked AI-related insurance activity. Omit for all.",
      "type": "string",
      "enum": [
        "adopted_model_bulletin",
        "own_framework",
        "no_model_bulletin"
      ]
    },
    "since": {
      "description": "ISO date (YYYY-MM-DD). Only jurisdictions that acted on or after this date. Use for questions like 'which states adopted in 2025?'",
      "type": "string"
    },
    "until": {
      "description": "ISO date (YYYY-MM-DD), inclusive upper bound",
      "type": "string"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢dataset_provenance

Return the dataset's source, as-of date, coverage counts, and per-field confidence. Call this before relying on any answer, to check how current the underlying data is and which fields are primary-source verified.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Community

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Evidence

Recent observations

verifiedversion not recorded3 tools
verifiedversion not recorded3 tools
verifiedversion not recorded3 tools