DESTRAVA — AI Mindset Framework
Official DESTRAVA framework: eight AI maturity levels and published aggregate indicators.
我該用這個嗎
品質與安全性
B
發現項目(1)
- LOW在 consultar_conhecimento_destrava 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~251Token(工具定義)
~521 B典型回應大小
極小的注意力影響(128k 上下文的 0.20%)
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": {
"destrava": {
"url": "https://orndmotmdsrpfjveuapn.supabase.co/functions/v1/mcp"
}
}
}遠端端點
https://orndmotmdsrpfjveuapn.supabase.co/functions/v1/mcpstreamable-http它能做什麼
工具清單
工具(2)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢consultar_conhecimento_destrava(idioma)
Returns the official DESTRAVA methodology of the 8 AI maturity levels (names, summaries, main blocker and next-leap trigger) with the official source link. Conceptual content only.
輸入結構描述
{
"type": "object",
"properties": {
"idioma": {
"type": "string",
"enum": [
"pt",
"en",
"es",
"zh"
],
"default": "pt",
"description": "Language: pt, en, es or zh."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢consultar_indicadores_publicos
Returns the aggregate indicators already published by DESTRAVA (value, unit, sample size, period, instrument versions, limitations) with the official source. No individual or company data.
輸入結構描述
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}社群
證據
近期觀測
已驗證未記錄版本2 個工具