agentweb
NAIC AI model bulletin adoption by state, with citations. Insurance AI compliance data.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"insurance-ai-regulation": {
"url": "https://agentweb.brelsfordsoftware.com/mcp"
}
}
}遠端端點
https://agentweb.brelsfordsoftware.com/mcpstreamable-http它能做什麼
工具清單
工具（3）
🟢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.
輸入結構描述
{
"type": "object",
"properties": {
"jurisdiction": {
"type": "string",
"description": "Two-letter code or full name, e.g. 'CO' or 'Colorado'"
}
},
"required": [
"jurisdiction"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢list_jurisdictions(posture, since, until)
List US jurisdictions by regulatory posture. Use posture 'adopted_model_bulletin' for states that adopted the NAIC model bulletin, 'own_framework' for states running their own insurance-specific AI framework (CA, CO, NY, TX), or omit for all.
輸入結構描述
{
"type": "object",
"properties": {
"posture": {
"description": "adopted_model_bulletin = adopted the NAIC bulletin; own_framework = runs its own insurance-specific AI framework (CA, CO, NY, TX); no_model_bulletin = has not adopted it but has other tracked AI-related insurance activity. Omit for all.",
"type": "string",
"enum": [
"adopted_model_bulletin",
"own_framework",
"no_model_bulletin"
]
},
"since": {
"description": "ISO date (YYYY-MM-DD). Only jurisdictions that acted on or after this date. Use for questions like 'which states adopted in 2025?'",
"type": "string"
},
"until": {
"description": "ISO date (YYYY-MM-DD), inclusive upper bound",
"type": "string"
}
},
"$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.
輸入結構描述
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}社群
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